Skip to content
A list of schools and researchers in computational neuroscience
Branch: master
Clone or download
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
LICENSE Update LICENSE Dec 26, 2018
README.md
contributing.md

README.md

awesome-computational-neuroscience Awesome

To contribute, see ✏️ code of contribution

A list of schools and researchers in computational neuroscience, theoretical neuroscience, (and systems neuroscience)

Index

Contents

Europe

Germany

PI(Ph.D.s) Research Areas Research +/=/- computational
Cheng, Sen Our first approach is modeling, including mathematic models as well as computer simulation of complex networks. While all models are simplified, we aim to build biologically realistic models that capture the essence of the neural circuit mechanism underlying learning and memory. Our second approach is data-mining. We develop methods for model-based data analysis and apply such methods to experimental data. These data include electrophysiological and EEG recordings as well as behavioral data. We collaborate closely with neuroscientists on the RUB campus and at other universities in Germany and abroad. Lab +

Italy

PI(Ph.D.s) Research Areas Research +/=/- computational
Treves, Alessandro Hippocampal Processing: The aim is to understand how the hippocampus contributes to memory, focusing on modelling coding strategies within each structure of the hippocampal formation (e.g. self-organization of grid representations), as well as interactions between different structures. Neural Basis of Language: The aim is to describe network behaviour that could subserve Language production. A class of reduced Potts models of large semantic associative networks, endowed with adaptation, naturally displays Latching dynamics, i.e. hopping from one attractor to the next. Such dynamics may be associated with a network capacity for infinite recursion, which is considered as the core of several higher cognitive functions. Google +

North America

United States

U.S. West

Apply:

PI(Ph.D.s) Research Areas Research +/=/- computational
Yaser, Abu-Mostafa The Learning Systems group at Caltech works on the theory, implementation, and application of automated learning, pattern recognition, and neural networks. We are an interdisciplinary group with students coming from Electrical Engineering, Computer Science, Mathematics, and Physics. We work on a variety of projects analyzing and synthesizing systems that can be trained to perform their task. Google +
Adolphs, Ralph The Emotion and Social Cognition Lab (aka “The Adolphs Lab”) investigates the neural underpinnings of human social behavior. We are pursuing questions such as: How do we recognize emotion from facial expressions? How do we make social judgments about other people? How do we look at people’s faces (how do we move our eyes when looking at them)? How do we make decisions that are influenced by emotion? How do we remember emotional events in our lives? How do we make moral judgments about what is right and wrong? Lab =
Allman, John We are using a variety of histological methods to visualize the complex structure of these cells and will be performing computer simulations of the cells activity in living brain. We are also pursuing several lines of research investigating evolutionary pressures and scaling relationships in mammalian brains. We have performed computer-assisted imaging of living and fixed brains of modern species as well as subfossil and fossil samples of extinct species. Google +
Ames, Aaron Bipedal robotics, hybrid systems, Zeno behavior, prosthetic devices. Theoretical foundations with practical applications to human inspired bipedal walking, Hybrid mechanical systems with a special emphasis on bipedal robots;Hybrid stability theory and its relationship to Zeno behavior;Hybrid geometric mechanics with a focus on hybrid geometric reduction and geometric control; Hybrid topology, geometry and homology; Novel Applications such as Prosthetics Lab +
Anandkumar, Anima PhD students and postdoctoral candidates with strong foundation in machine learning, statistics, and algorithms. Lab =
Andersen, Richard One project in the lab is to develop a cognitive-based neural prosthesis for paralyzed patients;We have been examining the coordinate frame for coordinated movements of the hand and eyes;We have been examining decision making in parietal-frontal circuits;A 4.7 Tesla vertical magnet for monkey imaging has recently been installed at Caltech. We are using this magnet, combined with neural recordings, to examine the correlation between neural activity and fMRI signals. Lab +
Anderson, David Research in this laboratory is aimed at understanding the neurobiology of emotion. We seek to elucidate how fundamental properties common to emotional states, such as arousal, are encoded in the circuitry and chemistry of the brain and how these internal states combine with sensory stimuli to elicit specific emotional behaviors, such as fear or aggression Lab +
Barr, Alan A source of motivation and long term goal for the research is the creation of tools for simulation and behavioral prediction of mechanical and biophysical structures. The methods are intended to eventually be applied to simulating the behavior of cellular organelles, but also to self-assembling robotic structures as potentially needed for human colonization of space; the same modeling technology can be used for both applications. ? +
Bruck, Jehoshua We attempt to prove this conjecture by evaluating string replication systems from an information theory perspective, as well as study tandem duplication and interspersed duplication mechanisms. Google +
Burdick, Joel W. Our research group pursues both Robotics and BioEngineering related to spinal cord injury Google +
Camerer, Colin F. Neuroeconomics. Psychology and economics, decision making, business administration, game theory. Google +
Dickinson, Michael studies the neural and biomechanical basis of behavior in the fruit fly, Drosophila. We strive to build an integrated model of behavior that incorporates an understanding of morphology, neurobiology, muscle physiology, physics, and ecology Google +
Elowitz, Michael The Elowitz Lab is interested in how genetic circuits, composed of interacting genes and proteins, enable individual cells to make decisions, oscillate, and communicate with one another Lab +
Gradinaru, Viviana The Gradinaru Lab studies the mechanism of action for deep brain stimulation (DBS), a therapeutical option for motor and mood disorders such as Parkinson’s and depression. Our previous work highlighted the importance of selectively controlling axons and not local cell bodies in modulating behavior, a principle that might play a generalized role across many effective deep brain stimulation paradigms. We are now particularly interested in the long-term effects of DBS on neuronal health, function, and ultimately behavior. Lab +
Hong, Betty (E.J.) Our goal is to understand how molecular diversity at synapses gives rise to useful variation in synaptic physiology, and how this may reflect the specialization of synapses to perform specific useful computations in their respective circuits. Lab +
Konishi, Masakazu Owls. Preditors. The work over the past twenty years has led to a reasonably good understanding of the algorithm for the computation of sound locations in 2 dimensions Google +
Lester, Henry A. The Lester lab uses techniques at the intersection of biophysics, single-molecule imaging, chemistry, mouse genetics, and neuroscience to understand the biophysical basis of ligand-gated ion channels including the nicotinic acetylcholine receptor. Google +
Lois, Carlos Our laboratory is interested in the assembly of brain circuits and the mechanisms by which the activity of neurons in these circuits give rise to behavior. We focus on the process of neuron addition into the vertebrate brain, and seek to understand how new neurons integrate into the circuits of the adult brain, and their role in information processing and storage Google +
Mead, Carver (emeritus) Very diverse history of research spanning gravitation to analog silicon retinas... Lab +
Meister, Markus My goal is to understand the function of neuronal circuits. By "circuit" I mean a brain structure with many neurons that has some anatomical and functional identity, and exchanges signals with other brain circuits Google +
Mobbs, Dean His main endeavor is to understand the neural and behavioral dynamics of human social and emotional experiences and consequently build new theoretical models that merge multiple fields. Lab +
Murray, Richard Current projects include integration of control, communications, and computer science in multi-agent systems, information dynamics in networked feedback systems, analysis of insect flight control systems, and synthetic biology using genetically-encoded finite state machines. Lab =
O'Doherty, John The ability to make decisions requires neural machinery that has been honed through evolution to enable animals to learn about the structure of their environment and uncover causal links between their own behavior and the probability of obtaining rewards. A deeper understanding of how the brain does this will not only inspire new theories of decision making, it will also contribute to the development of genuine "artificial intelligence", and it will enable us to understand why some humans are better than others at making decisions, why humans with certain psychiatric disorders or brain lesions are less capable of doing so, and why under some circumstances humans systematically fail to make "rational" decisions. The goal of our research is to unravel the neural computations underlying this process in the human brain. Lab +
Oka, Yuki Our goal is to understand where and how appetites are encoded in the brain... With these thirst-controlling neurons in hand, we are now exploring the downstream and upstream neural circuits to decipher how motivational signals are translated into behavioral outputs. Lab +
Perona, Pietro We are interested in the computational foundations of vision. This knowledge helps us design machine vision systems with applications to science, consumer products, entertainment, manufacturing and defense Google +
Prober, David A. We are using zebrafish as a new model to discover and understand genetic and neuronal circuits that regulate sleep. Lab +
Quartz, Steven Impact of neuroscience advances for many of the traditional problems of mind, ranging from a neurally plausible theory of mental representation, the origin of knowledge, to the formal learning properties of neurally constrained developing systems. ? =
Rangel, Antonio We study the neural basis of economic decision-making using tools from cognitive neuroscience and experimental economics. The tools that we use include functional magnetic resonance imaging, transcranial magnetic stimulation, and eye tracking. The research team includes neuroscientists, psychologists, and economists. Lab +
Shimojo, Shinsuke We would like to understand how the brain adapts real-world constraints to resolve perceptual ambiguity and to reach ecologically valid, unique solutions Lab =
Siapas, Thanos Our research focuses on the study of information processing across networks of neurons, with emphasis on the neuronal mechanisms that underlie learning and memory formation. Google +
Sternberg, Paul We measure gene expression by RNA-seq and transgenic reporters; we measure behavior using automated systems and optogenetics. We focus on intercellular signals and their transduction by the responding cell into transcriptional outputs. Many of the genes we have identified are the nematode counterparts of human genes, and we expect that some of our findings will apply to human genes as well. Lab +
Thompson, Matt Diffusion, Modeling, Transcription, ? Google ?
Tsao, Doris Segmentation (Our lab is pursuing the neural mechanisms underlying segmentation through a variety of approaches including mathematical modeling and development of new experimental models for study of visual segmentation), Recognition, Consciousness, Space, Tools to explore Lab +
Winfree, Erik Biomolecular computation, DNA based computation, algorithmic self-assembly, in vitro biochemical circuits, noise and fault-tolerance, DNA and RNA folding, evolution. or Google +
Yue, Yisong Yisong Yue's research interests lie primarily in the theory and application of statistical machine learning. He is more generally interested in artificial intelligence. Currently, he is particularly interested in learning with humans in the loop, interactive learning systems, and spatiotemporal reasoning Lab +

Apply:

PI(Ph.D.s) Research Areas Research +/=/- computational
Airan, Raag precisely deliver drugs to the brain, to mediate more precise control of neural activity, in addition to other therapeutic effects Lab =
Baccus, Stephen A. (Brain-Machine Interfaces,Neuro-circuit interventional research consortium for understanding the brain and improving treatment) We study how the circuitry of the retina translates the visual scene into electrical impulses in the optic nerve...experimental data is used to create mathematical models to predict and explain the output of the retinal circuit. Google +
Chichilnisky, E.J. The goal of our research is to understand how the neural circuitry of the retina encodes visual information, and to use this knowledge in the development of artificial retinas for treating incurable blindness Lab +
Clandinin, Thomas My lab seeks to understand how the brain computes at the cellular and molecular level Lab +
Druckmann, Shaul We seek to relate circuit dynamics to computation by understanding the unique computational style used by the brain Lab +
Etkin, Amit we collaborate with neuroscientists, engineers, psychologists, physicians and others to establish a new intellectual, scientific and clinical paradigm for understanding and manipulating human brain circuits in healthy individuals and for treating psychiatric disease Lab +
Ganguli, Surya we exploit and extend tools and ideas from a diverse array of disciplines, including statistical mechanics, dynamical systems theory, machine learning, information theory, control theory, and high-dimensional statistics, as well as collaborate with experimental neuroscience laboratories collecting physiological data from a range of model organisms, from flies to humans Lab +
Gardner, Justin Using knowledge of the visual system and decision theoretical models of how behavior is linked to cortical activity, we seek to understand the cortical computations that construct human vision Lab +
Ghajar, Jashmid MD, FACS improve the diagnosis and treatment of TBI. To do this, we lead the way in cutting-edge clinical research spanning the spectrum from concussion to coma Lab =
Giocomo, Lisa Giocomo Lab integrates electrophysiology, behavior, imaging, gene manipulations, optogenetics and computational modeling to study how single-cell biophysics and network dynamics interact to mediate spatial memory and navigation Lab +
Grill-Spector, Kalanit Our research utilizes functional imaging (fMRI), computational techniques, and behavioral methods to investigate visual recognition and other high-level visual processes Lab +
Gross, James (Psychology) The goal of this project is to create a computational model that will help us understand the unfolding of emotions at the group level (collective emotion) and to correlate this model with real life events Lab +
Holmes, Susan We use computational statistics, multitable and nonparametric methods such as the bootstrap and MCMC computation of complex posterior distributions to draw inferences about complex biological phenomena Lab +
Huguenard, John Our approach is an analysis of the discrete components that make up thalamic and cortical circuits, and reconstitution of components into both in vitro biological and in silico computational networks Lab +
Knutson, Brian (NeuroChoice), Neural circuit dynamics of drug action Lab +
Lee, Jin Hyung The Lee Lab uses interdisciplinary approaches from biology and engineering to analyze, debug, and manipulate systems-level brain circuits Lab +
Luo, Liqun Organization and function of neural circuits in the mouse and Developing genetic tools to probe neural circuit assembly and organization Lab +
McClelland, Jay ...the primary current focus is on mathematical cognition from Parallel and Distributed Processing site Lab +
Newsome, William Computer modelling techniques are then used to develop more refined hypotheses concerning the relationship of brain to behavior that are both rigorous and testable. This combination of behavioral, electrophysiological and computational techniques provides a realistic basis for neurophysiological investigation of cognitive functions such as perception, memory and motor planning Lab +
Norcia, Anthony Brain mechanisms underlying face and text processing...methods for exploiting the temporal resolution of the EEG to study the dynamics of brain processing... Lab =
Poldrack, Russell Our lab uses the tools of cognitive neuroscience to understand how decision making, executive control, and learning and memory are implemented in the human brain. We also develop neuroinformatics tools and resources to help researchers make better sense of data. Google +
Raymond, Jennifer L. The goal of our research is to understand the algorithms the brain uses to learn Lab +
Schnitzer, Mark J. Development of high-throughput, massively parallel imaging techniques for studying brain function in large numbers of Drosophila concurrently Lab +
Shenoy, Krishna (BMIs), conducts neuroscience, neuroengineering and translational research to better understand how the brain controls movement, and to design medical systems to assist people with paralysis Lab +
Soltesz, Ivan We are interested in how brain cells communicate with each other in the normal brain, and how the communication changes in epilepsy ... highly realistic large-scale supercomputational modeling approaches Lab +
Wagner, Anthony D Current research directions – which combine behavior, brain imaging, virtual reality, and computational approaches Lab +
Williams, Leanne ...Biomedical data sciences and informatics are also essential, not only because of the amount of data we generate, but also because we rely on increasingly sophisticated computational models to understand such complex phenomena as the brain and depression Lab +
Yamins, Daniel Our research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. We seek to "reverse engineer" the algorithms of the brain, both to learn about how our minds work and to build more effective artificial intelligence systems Lab +

Apply:

PI(Ph.D.s) Research Areas Research +/=/- computational
Banks, Martin Visual space perception and sensory combination Lab +
Bouchard, Kristofer How distributed neural circuits give rise to coordinated behaviors and perception Google +
Carmena, Jose Neural basis of motor skill learning. Application to neural prostheses and development of neural dust technology Google
Collins, Anne Computational modeling of human learning, decision-making, and executive functions.... Computational modeling lets us precisely and quantitatively define theories, make explicit predictions, and investigate how well different information representations work in different environments. Computational modeling may also provide a link to the mechanistic implementation of processes. Lab +
Cooper, Emily Computational modeling of visual perception...We study the statistics of natural images and examine their relevance for visual coding and perception Lab +
Dan, Yang Neural circuits controlling sleep; mechanisms of executive control... Google +
DeWeese, Mike experimental and theoretical neuroscience Google +
Feinberg, David MRI technology development, mapping columnar and visual circuitry, modeling neurovascular coupling. - +
Gallant, Jack Identifying cortical maps to discover how the brain represents information about the world and its own mental states... To address this problem, our laboratory makes heavy use of an inductive scientific approach called system identification. System identification is a systematic approach for discovering the computational principles of an unknown system such as the brain. Google +
Li, Lexin Neuroimaging data analysis: brain connectivity and network analysis, imaging causal inference, imaging genetics, longitudinal imaging analysis, multi-modality analysis, tensor analysis; Statistical genetics, computational biology; Dimension reduction, variable selection, high dimensional regressions; Statistical machine learning, data mining, computational statistics Google +
Maharbiz, Michel Building micro- and nano- scale machine interfaces to cells and organisms, including development of neural dust technology. Lab +
Olshausen, Bruno Developing new theoretical frameworks and models of vision Lab +
Sommer, Friedrich Theoretical principles of learning and perception.My lab investigates the theoretical principles of learning and perception and their biological bases in the circuit dynamics of the brain. To study these issues we develop computational models of the brain, as well as advanced techniques of data analysis Google +
Theunissen, Frédéric The overarching goal of our laboratory is to understand how complex natural sounds such as human speech, music and animal vocalizations are detected and recognized by the brain...We use computational methods in neuroscience to generate theories of audition, to study sounds and to analyze our neural data Lab +

Apply:

PI(Ph.D.s) Research Areas Research +/=/- computational
Antzoulatos, Evangelos large-scale neural networks that implement cognitive functions Google +
DeBello, William complete wiring diagram of local circuits in the barn owl auditory localization pathway +
Ditterich, Jochen bridging this gap by utilizing both behavioral and neurophysiological methods and by using mathematical models for exploring potential neural mechanisms Google +
Goldman, Mark wide variety of systems and seek to address questions ranging from cellular and network dynamics to sensory coding to memory and plasticity Google +
Hanks, Tim We use the knowledge gained from these experiments to develop and constrain circuit-level descriptions of the computations that underlie decision making. Google +
Nord, Alex (Brain Disease, Disorders), To that end, I perform both experimental work and computational analysis to reveal function of primary DNA sequence, epigenomic modifications, and chromatin structure Google +
Usrey, W. Martin (Chair) Structure, Function and Development of Neural Circuits for Vision Google +

PI(Ph.D.s) Research Areas Research +/=/- computational
Abarbanel, Henry (physics) electrophysiological properties of neurons Google +
Albright, Thomas neural structures and events underlying the perception of motion, form, and color Lab =
Asahina, Kenta ... employing ... CRISPR/Cas9 genome editing, manipulation of specific neural populations, 2-photon functional imaging, and machine vision-assisted behavioral analyses Lab +
Bazhenov, Maksim we apply a variety of methods – quantitative experimental techniques, sophisticated mathematical analysis and large-scale computer modeling – to a variety of problems to reveal common features Lab +
Cauwenberghs, Gert VLSI microsystems for adaptive neural computation Google +
Chalasani, Sreekanth ...interested in understanding how neural circuits sense and process information to generate behaviors Google +
Coleman, Todd Flexible bio-electronics, systems neuroscience, quantitative approaches to understand and augment brain function. Lab +
de Sa, Virginia We study the computational properties of machine learning algorithms and also investigate what physiological recordings and the constraints and limitations of human performance tell us about how our brains learn Lab +
Gentner, Timothy (Acoustic) We want to know how the brain represents behaviorally important, complex, natural stimuli Google +
Gilja, Vikash brain-machine interfaces Lab +
Kleinfeld, David network and computational issues within nervous systems Lab +
Komiyama, Takaki neuronal ensembles in behaving animals, BCI, two-photon in vivo Lab +
Kristan, William study vector calculations, coding/decoding, and control of gain Google +
Mishra, Jyoti Neurotechnology engineering studies in humans to advance experimental diagnostics and therapeutics for neuropsychiatric disorders. Google +
Mukamel, Eran A. (Epigenomics) Research in our lab uses computational modeling and analysis of large-scale data sets to understand complex biological networks, from the genome to brain circuits Lab +
Navlakha, Saket Algorithms in nature Lab +
Reinagel, Pamela computational models to explain reward-motivated choice behavior Lab +
Sejnowski, Terrence
(One of the founders of Deep Learning)... To uncover linking principles from brain to behavior using computational models...New techniques have been developed for modeling cell signaling using Monte Carlo methods (MCell)...new methods for analyzing sources for electrical and magnetic signals... from functional brain imaging by blind separation using independent components analysis (ICA) Lab +
Serences, John To investigate the influence of behavioral goals and previous experiences on perception and cognition, we employ a combination of psychophysics, computational modeling, and neuroimaging techniques Google +
Sharpee, Tatyana Our approaches are often derived from methods in statistical physics, mathematics, and information theory Lab +
Silva, Gabriel (Ophthlmology) In particular, we are interested in the mechanisms that underlie signal and information propagation in biological cellular neural networks, and the computational potential of such networks in the brain Lab +
Stevens, Charles F. mechanisms responsible for synaptic transmission Google +
Störmer, Viola ...Cognitive and neural mechanisms of human perception, selective attention, and multisensory processing...to understand the computations and processes involved to process these diverse inputs, it is important to consider the full breadth of incoming information Lab +
Voytek, Bradley focused on combining large scale data-mining and machine-learning techniques with hypothesis-driven experimental research to understand the relationships between the human frontal lobes, cognition, and disease Lab +
Yeo, Gene leader in developing the molecular and cellular resources and robust technologies required for truly large-scale studies of hundreds of RNA binding proteins and their RNA targets Lab +
Yu, Angela J. Computational modeling and psychophysics of attention, learning, and decision-making Lab +

PI(Ph.D.s) Research Areas Research +/=/- computational
Ahmadian, Yashar (Theoretical Neuroscience)...understanding how large networks of neurons...process sensory inputs and give rise to higher-level cognitive functions through their collective dynamics on multiple time scales Google +
Doe, Chris Assembly and function of neural circuits driving larval locomotion in Drosophila... interested in (1) temporal identity programs used to generate an ordered series of neural progeny from a single progenitor, (2) how spatial patterning and temporal identity are integrated to generate heritable neuronal identity, (3) how neuronal progenitors change competence to respond to intrinsic and extrinsic cues over time, and (4) the developmental mechanisms driving neural circuit assembly, with a focus on larval locomotor circuits and adult central complex circuits. Lab +
Huxtable, Adrianne neural control of breathing (the central brainstem and spinal cord networks), with a specific focus on how inflammation ... undermines breathing Lab =
Lockery, Shawn nervous system controls behavior by analyzing the neural networks for decision making, focusing on spatial exploration behaviors, and food choice involving trade-offs that mimic human economic decisions Google +
Mazzucato, Luca Computational models of cortical network function. Lab +
Miller, Adam C. Neural circuit wiring, synapse formation, and electrical synaptogenesis in zebrafish Lab +
Niell, Cris Function and development of neural circuits for visual processing ? +
Smear, Matt will pursue general principles of how neural circuits generate behavior Google +
Swann, Nicki (Parkinson's)... goal of her research is characterize neural signatures of disease to better understand pathophysiology and improve treatments Lab +
Sylwestrak, Emily understand how heterogeneous, molecularly-defined neuronal populations work together to drive behavior Lab =
Washbourne, Philip Molecular mechanisms of synapse formation Lab =
Wehr, Michael How local circuits in the auditory cortex encode and transform sensory information Lab +

PI(Ph.D.s) Research Areas Research +/=/- computational
Brocas, Isabelle I combine economic theoretical modeling (optimization based, game theoretic based), computational approaches, and a large variety of experimental methods. Lab +
Clark, Kristi Big data approaches to neuroimaging: In the third component of my research program, we create databases of typical development using MRIs. Google +
Coricelli, Giorgio Our objective is to apply robust methods and findings from behavioral decision theory to study the brain structures that contribute to forming judgments and decisions, both in an individual and a social context Google =
Duncan, Dominique Epilepsy, EEG, MRI, Traumatic Brain Injury, Alzheimer's Disease, Applied Harmonic Analysis, Diffusion Geometry, Biomedical Signal Processing, Nonlinear Filtering, Analysis and Modeling of Signals, Statistical Signal Processing, Virtual Reality Google +
Finley, James M. Dr. Finley's lab develops theoretical models and experiments based on principles of neuroscience, biomechanics, and exercise physiology to identify the factors that guide learning and rehabilitation. Ultimately, the goal of his work is to design novel and effective interventions to improve locomotor control in individuals with damage to the nervous system. Lab +
Humayun, Mark S. Electrical stimulation of the retina,Retinal prosthesis, Retinal disease, Instrumentation for vitreoretinal surgery Google =
Irimia, Andrei My research involves the use of multimodal neuroimaging (MRI, MRA, PET, CT, EEG, MEG) to understand how traumatic brain injury (TBI) alters brain aging... We integrate brain mapping techniques with machine intelligence and computational biology approaches to investigate how brain connectivity alterations... Lab +
Kalluri, Radha First, we study how the hydromechanical properties of the inner ear form the place-frequency map by using non-invasive measurements of inner ear physiology combined with mechanical modeling. Second, using whole-cell patch clamping techniques combined with neuroanatomy and modeling we study the biophysical processes underlying sensory signalling at the first synapse between cochlear sensory cells and the primary auditory neuron. Google =
Kim, Hosung My ultimate research goal is to develops a universal imaging analytic platform to quantitatively analyze neurodevelopment and neurodegeneration at various ages in healthy and disease conditions Research Gate +
Kutch, Jason J he AMPL performs basic science and translational research focused on the neural mechanisms for muscle activation, engineering of non-invasive systems to study human motor function, and neuromuscular chronic pain disorders. Of particular interest to the lab are adaptive and maladaptive motor adaptations in individuals with chronic pain, and the brain mechanism of these adaptations. Google +
Mel, Bartlett W. Using computer models to study brain function at single cell and systems levels. Role of active dendritic processing in the sensory and memory-related functions of pyramidal neurons. Neuromorphic models of visual cortex; neurally-inspired approaches to image processing problems. Google +
Narayanan, Shrikanth SAIL conducts fundamental and applied research in human-centered information processing. Our emphasis is on speech, audio, language, biomedical and multi-modal signal processing, machine learning and pattern recognition. Lab +
Quadrato, Giorgia The goal of our lab is to improve emerging brain-region specific models of the human brain, including pluripotent stem cell derived 3D organoids and human chimeric mice... Lab =
Read, Stephen J. Neuroscience of Decision-making; Computational models of motivated decision-making; Computational models of personality; Pavlovian Instrumental Transfer in human social behavior Lab +
Smith, Beth A. Current projects are focused on understanding the relationship between movement experience, movement outcomes and underlying neural control. We are using Opal movement sensors (small, lightweight, synchronized accelerometer /gyroscope /magnetometers) to analyze infant movement experience and movement outcomes through full-day, in-home monitoring Google +
Song, Dong My main research interests are in the fields of computational neuroscience and neural engineering. The overarching goal of my research is to develop brain-like, biomimetic devices that can mimic and restore cognitive functions Google +
Swanson, Larry We are interested in the organization of neural networks that control motivated behavior in mammals. The approach is mostly structural, and to display and model results we are developing computer graphics and database approaches Google +
Tao, Huizhong W. We are interested in the architecture of visual cortical circuits. To dissect the circuits that consist of excitatory and inhibitory neurons, we will apply in vivo electrophysiology, in particular two-photon imaging guided recording, to target different types of neurons in rodent visual cortex. From the response properties of individual neurons and the pattern of synaptic inputs to these neurons, we will be able to deduce the connectivity rules governing the construction of cortical circuits ? =
Van Horn, John Darrell My research program is centered on the informatics of neuroimaging and related biomedical data for the identification of patterns and biomarkers in brain health and disease. This work focuses on the multimodal neuroimaging of normal subjects, those with brain trauma, and age-related disease, contrasting patterns of neuroanatomy, the quantification of brain connectomics, brain function, and the role of computational approaches to dealing with large-scale neuroscience data. Google +
Zhang, Li I As a systems neuroscientist, our ultimate research goal is to decipher the brain circuits, and to understand how perception and behaviors are generated and controlled, how the brain?s cortex adapts in response to changes in the dynamic external environment, and how specific changes in cortical functions result in neurological and psychiatric disorders. To address these highly challenging questions, our approach is to resolve the neural circuitry (how neurons are wired in the brain), i.e. the structural basis underlying the brain functions. Google +

PI(Ph.D.s) Research Areas Research +/=/- computational
Goris, Robbe He uses behavioral experiments, computational theory, and monkey electrophysiology to study representation and computation in the primate visual system Lab +
Fiete, Ila uses computational and theoretical approaches to understand the nature of distributed coding, error correction, and dynamical mechanisms that underlie representation and computation in the brain Lab +
Geisler, Bill research combines behavioral studies, neurophysiological studies, studies of natural stimuli, and mathematical analysis Lab +
Huth, Alex Our lab uses quantitative, computational methods to try to understand how the human brain processes the natural world. In particular, we are focused on understanding how the meaning of language is represented in the brain Lab +
Soloveichik, David (molecular programming), theoretical connections between distributed computing and molecular information processing. David is also interested in understanding how neural networks can execute distributed computing algorithms Google +
Taillefumier, Thibaud We develop novel analytical and algorithmic tools to address questions at the interface of Systems Neuroscience and Applied Mathematics Lab +
Tran, Ngoc Mai probabilistic and combinatorial questions arising from tropical geometry and neuroscience Lab +

PI(Ph.D.s) Research Areas Research +/=/- computational
Bair, Wyeth understand neural circuitry and neural coding in the cerebral cortex with a major emphasis on the primate visual system. We approach this problem by recording directly from neurons in the functioning brain in vivo and by creating and refining large scale spiking neural network models that run on parallel computers Google +
Brunton, Bing Data-driven dynamic models of large-scale neural data; Neural computations underlying long-term, naturalistic behavior; Efficient algorithms for closed-loop neuroengineering; Sparse sensors for biological and engineered systems Google +
Buice, Michael identifying and understanding the mechanisms and principles that the nervous system uses to perform the inferences which allow us to perceive the world. I am particularly interested in neural implementations of Bayesian inference and mechanisms by which prior knowledge is encoded as well as the implications that coding efficiency has on the structure of neural circuits PubMed +
Chizeck, Howard Jay (telerobotics and neural engineering). His telerobotic research includes haptic navigation and control for robotic surgery and for underwater devices, as well as security of telerobotic systems. His neural engineering work involves the design and security of brain-machine interfaces, and the development of assistive devices to restore hand and locomotion capabilities Lab +
Koch, Christof biophysical mechanisms underlying neural computation, understanding the mechanisms and purpose of visual attention, and uncovering the neural basis of consciousness and the subjective mind Google +
Fairhall, Adrienne theoretical approaches to understand processing in nervous systems. We collaborate closely with experimental labs to uncover algorithms of information processing in a range of systems, from single neurons to foraging mosquitoes to navigating primates Lab +
Fox, Emily B. large-scale Bayesian dynamic modeling and computations Lab =
Kutz, Nathan Theoretical Methods for Characterizing the Brain and Sensory-Motor Processing Google +
Mihalas, Stefan he works to build a series of models of increasing complexity for both individual components, i.e., neurons, synapses, and microcircuits, as well as for large portions of the entire system NCBI +
Rao, Rajesh Neural networks implemented on Neurochip FPGA; A dynamical systems approach to understanding cortical microcircuits, adaptation and plasticity induction Google +
Rokem, Ariel development of data science tools, techniques and methods and their application to the analysis of neural data Google +
Shea-Brown, Eric nonlinear dynamics of neurons, neural networks, and neural populations Lab +
Stocco, Andrea research concerns how human use abstract mental representations (like, rules, instructions, and plans) to perform complex tasks. He uses computational and mathematical models, neuroimaging techniques, and brain stimulation methods determine and predict how these mental representations are encoded in the brain, how they are transformed into behavior, and how this knowledge can be used to improve learning and skill acquisition Lab +
Shlizerman, Eli development of generic computational approaches and modeling actual biological and physical systems Lab +
Witten, Daniela statistical machine learning techniques for problems in genomics and neuroscience Lab +

U.S. Central

PI(Ph.D.s) Research Areas Research +/=/- computational
Amit, Yali The main focus of my research is the formulation of statistical models for objects. Although not extensively used in computer vision these emerge as a powerful tool in developing recognition algorithms which allow for proper modeling of object and data variability. Google ?+
Awh, Edward We study the interactions between visual working memory and selective attention using psychophysical and electrophysiological methods. Lab ?+
Bensmaia, Sliman we record neuronal responses, measure the elicited percepts, and develop mathematical models to link the neuronal representations to behavior Lab +
Bezanilla, Francisco search for the dynamics of the molecular correlates of the function in membrane transport proteins. This is being approached with physical techniques such as temperature effects and complex capacitance measurements in the frequency domain combined with mutations of the molecule and assessed by gating currents, macroscopic currents and single molecule recordings. The correlation with structural changes are being monitored with optical techniques using real time fluorescence spectroscopy including lifetimes, changes in intensity and fluorescence resonance energy transfer from probes attached to strategic sites in the molecule of interest while being functional in the membrane. Lab +?
Cacioppo, Stephanie Combining high-performance electrical neuroimaging, algorithms integrating brain source localization, noise suppression and boostrapping with high performance computing, and other methods the Brain dynamics laborator offers cutting edge tools for the study of brain dynamics in social species...Fields: High Performance Computing (HPC), Psychology, Psychiatry, Neurology, and Cognitive and Social Neuroscience. Google +
Carillo, Robert ...to understand the molecules and developmental programs that regulate neuronal development and wiring Lab ?+
Cowan, Jack ? Google ?
Dawson, Glyn ...understand the role of sphingolipids in how our brains work. Our techniques include chromatography, mass-spectrometry, confocal microscropy, DNA manipulation and a range of biochemical and genetic approaches. PubMed ?=
Decety, Jean To characterize the neural underpinnings of fairness and distributive justice, and how they differ or not by cultural environment, we are conducting EEG/ERP studies in the US, France, Mexico and Taiwan. Google ?=
Freedman, David L We use sophisticated neurophysiological techniques to monitor the activity of neuronal ensembles during behavioral tasks which require visual recognition, decision making, and learning. To identify key computational mechanisms used by the brain, we also employ advanced quantitative approaches such as neural network modeling and machine learning. Lab +
Hatsopoulos, Nicholas G. Our approach has been to simultaneously record neural activity from large groups of neurons using multi-electrode arrays while performing detailed kinematic, kinetic, and muscle measurements of goal-directed, motor behaviors, and to develop mathematical models that relate neural activity with behavior. These mathematical models provide insights as to what aspects of motor behavior are being encoded in cortical neurons, but also can be used to decipher or “decode” neural activity in order to predict movement which has practical implications for brain-machine interface development. Lab +
Maunsell, John Our research is aimed at understanding how neuronal signals in visual cerebral cortex generate perceptions and guide behavior. Our approach is to record from individual neurons in trained, behaving monkeys and mice while they perform visual tasks. Google =?
Palmer, Stephanie I study how populations of neurons collectively encode information present in their inputs and how they perform computations on these signals. The brain performs several classes of computation including signal comparison, prediction, error correction, and learning. To investigate these phenomena, I work with experimentalists on a variety of systems: predictive coding in the retina and visual cortex of the rodent, motion coding in area MT, and temporal coding in the zebra finch song system. Google +
Sheffield, Mark The main goal of our lab is to establish an empirically well-supported unifying model of the neurobiology of complex memory formation and recall from the level of synapses and dendrites to large-scale ensembles of neurons that is based on data obtained from behaving animals engaged in memory-related tasks. Lab =?
Towle, Leo Mapping Human Cortical Function, Merging Functional and Structural Information, Epileptic Seizures? ? =?
van Drongelen, Wim Epilepsy is a serious neurological disease that affects a large population. To understand the mechanisms underlying this disease we apply an interdisciplinary approach that includes clinical studies from patients with epilepsy, experimental models, computer simulations and mathematical modeling. Lab +

PI(Ph.D.s) Research Areas Research +/=/- computational
Allen, Jont hearing/acoustics Google =
Fuller, Rebecca (Becky) My lab is broadly interested in ecology and evolution as it applies to fishes. Google -?
Gillette, Rhanor Neuronal mechanisms of decision in circuit, cell, metabolism, and genome; Directed evolution of brain circuits for cognition and sociality; Computational simulations of choice, esthetic sense, and emerging behavioral complexity; Comparative neurobiology of the predatory sea-slug Pleurobranchaea and the octopus Google +
Llano, Daniel One specific set of issues that we address concerns the role of different cortical subnetworks in complex sound processing. For example, neurons in both cortical layer 5 and cortical layer 6 project to subcortical structures, and the neurons in these layers have very different intrinsic, integrative and synaptic properties. Our work explores the different roles that these groups of neurons play in the processing of complex sound Google +
Lopez-Ortiz, Citlali Our research is interdisciplinary and involves the areas of dance, biomechanics, mathematical modeling, motor control, motor learning, physics, body-environment interfaces, mixed media, computational neuroscience, neurophysiology, and rehabilitation Lab +
Nelson, Mark E. Research in the lab is focused on active sensory acquisition. We seek to understand neural mechanisms and computational principles that animals use to actively acquire sensory information in complex, dynamic environments Google +
Vlasov, Yurii Behaviorial paradigms in virtual reality to study neural circuits in almost natural environment while mice are engaged in goal-directed behavior. Virtual reality systems allow full control over behaviorial tasks and quantitative measurements of resulting behavior. Neuroanatomy leveraging new viral, genetic, and computational tools to provide insights into brain circuits functionality. Machine learning based analytical methods to extract dynamical patterns of neural activity that are correlated with animal behavior and choice Lab +

PI(Ph.D.s) Research Areas Research +/=/- computational
Beer, Randall D. I work on the evolution and analysis of dynamical "nervous systems" for model agents, neuromechanical modeling of animals, biologically-inspired robotics, and dynamical systems approaches to behavior and cognition. More generally, I am interested in computational and theoretical biology, including models of metabolism, gene regulation and development Google +
Beggs, John M. Our work focuses on understanding how groups of brain cells work together to process information. We approach this topic by using advanced arrays with hundreds of tiny wires to eavesdrop on electrical signals within small pieces of brain tissue. To try and explain how networks of interacting brain cells give rise to patterns of signals, we borrow ideas from statistical physics, where the self-organized patterns of multiple interacting particles have been well-studied. Google +
Bertenthal, Bennett I. My research focuses on the origins, development, and basic processing mechanisms involved in the perception and representation of actions by social and non-social stimuli. Google =
Betzel, Richard Our work involves analysis of network data at different spatial, temporal, and topological scales. Our goal is to understand the underlying principles that shape the organization and function of biological neural networks. Lab +
Brown, Joshua W. The mission of the Cognitive Control Lab is to identify and characterize the neural mechanisms of goal directed behavior. To this end, we focus on the frontal lobes, and especially the medial prefrontal cortex. Our research involves a tight integration of computational neural modeling, functional MRI, and cognitive psychology. Lab +
Busey, Thomas visual perception; recognition memory; face recognition EEG analysis of face and object perception; mathematical modeling techniques applied to above domains Personal +
Farley, Joseph cellular and molecular mechanisms of learning and memory; neurobiology of behavior; excitable membranes/ion channels; neurobiology of nicotine abuse and addiction; molecular bases of signal transduction; computational models of neuronal excitability Google +
Garyfallidis, Eleftherios Prof. Garyfallidis is leading a new lab for Neuroengineering at ISE specializing in the developing of new methods and intelligent algorithms for medical imaging and brain mapping with applications to research, clinic and industry. Lab +
Izquierdo, Eduardo My research interest is in understanding the neural basis of behavior, as it arises from the interaction between the organism’s nervous system, its body, and its environment. I combine connectome graph analysis, neural network simulations, evolutionary algorithms for optimization, taking into account experimental observations, and mathematical analysis, including information theory and dynamical systems theory, to generate and understand complete brain-body-environment models of simple but biologically and cognitively interesting behaviors. Google +
James, Thomas W. Object recognition and categorization; Perceptual decision making; Functional neuroimaging; Sensory integration; Visual, somatosensory and auditory perception; Priming, adaptation, and perceptual learning Google +
Jones, Michael Large-Scale Semantic Modeling; Large-Scale Automated Synthesis of Human Functional Neuroimaging Data; Integrating Linguistic and Perceptual Information in Models of Lexical Semantics; Model-Based Guided Retrieval Practice Systems; Understanding linguistic and semantic development via naturalistic child-directed data; Retrieval Operations from Episodic and Semantic Memory... Lab +
Landy, David Computational and theoretical approaches to formal reasoning; Mathematical cognition and perception; Numerical reasoning; Distributed cognition ? +
I am interested in the development of statistical methods for the analysis of brain imaging data. My recent or ongoing projects include: High-dimensional outlier detection methods for artifact removal in fMRI data; Empirical Bayes shrinkage estimation of subject-level resting-state functional connectivity; Bayesian spatial modeling in task activation studies using cortical surface fMRI; Empirical Bayesian techniques to account for spatial dependence in fMRI task activation studies; Leveraging big fMRI datasets for estimation of subject-level and group-level resting-state networks through “template” independent component analysis (ICA); Synthesis of quantitative structural MR images (e.g. quantitative T1 maps, DTI, MTR) using conventional sequences (e.g. T1-weighted and FLAIR) Google +
Newman, Ehren How do neural circuits give rise to human memory? To answer this question, our group combines optogenetics, pharmacology and behavioral manipulations with high-density tetrode and depth-probe recordings of neural activity in awake behaving rats. We are most interested in areas known as the hippocampus, medial septum, and entorhinal cortex which have all been shown to play important roles in memory in humans and animals. We use computational modeling to bridge this experimental work and human memory processing. Our work suggests that neural rhythms allow the brain to code, manipulate and store information and that these dynamics are regulated by acetylcholine. PubMed +
Pisoni, David P. Our long-term goal is to provide broad interdisciplinary research training in the Communication Sciences and Disorders and to encourage novel and creative approaches to basic and clinical research problems in Speech, Hearing and Sensory Communication. ? =
Cognition and modeling of cognition; Machine learning; Computational Statistics; Learning; Memory; Sensory coding; Information retrieval; Attention and automatism; Organization and structore of memory; Control processes in memory; Decision theory; Optimal decision making; Rationality and reasoning; Vision processing and visual features; Psychological representation, mathematical and computer models of the various content areas listed above. Google +
Sporns, Olaf To make sense of the brain as a complex system we employ a broad range of analysis and modeling techniques, particularly methods coming from computational neuroscience, graph theory, time series analysis, complexity and information theory. Google +
Swanson, William H. ? Google ?

PI(Ph.D.s) Research Areas Research +/=/- computational
Amirikian, Bagrat. My current research interests are focused on two related issues: (i) deciphering the local cortical circuitry from the spatial structure of axonal and dendritic arbors of pre- and post-synaptic cell-pairs and their distribution across cortical layers, and (ii) understanding how these local circuits give rise to functional modules, and how they shape the underlying cortical dynamics. PubMed +
Kersten, Daniel. My lab uses behavioral and and brain imaging to investigate how the visual pathways of the brain transform image information into useful actions (Bloj et al., 1999, Murray et al., 2002). A major theoretical challenge is to discover the computational principles required to estimate object properties and determine motor output from image features. Computational vision searches for these solutions (Kersten and Yuille, 2003). The experimental challenge is to discover how our visual systems and those of other animals are built to achieve useful actions from the images received. PubMed +
Lim, Hubert. The goal of my lab is to push the development and translation of brain-machine interfaces from scientific concept into clinical application with close collaboration with clinicians and industry. Brain-machine interfaces span a broad array of applications and consist of either direct connection of a device to neurons within the brain or neural communication through noninvasive techniques, such as EEG recordings and transcranial magnetic stimulation. PubMed -
Olman, Cheryl. Employing a combination of visual psychophysics and fMRI, I want to determine how detection of local image features interacts with scene perception. How are local features in an image selected and grouped to construct a mental representation of a scene or object? To what extent do internal templates determine feature selection and shape perception? PubMed =
Redish, David. I am interested in questions of how neural structures work together to create systems able to accomplish behavioral tasks. Our primary current projects are in the interaction between multiple learning systems (such as hippocampus, cortex, and striatum) in the ability to make decisions, particularly deliberative decisions. PubMed +
Schrater, Paul. My research interests include human and computer vision, planning and guiding reaches with and without visual information, and the integration of visual, haptic, and motor information during the perception-action cycle. My research approach treats problems in vision and motor control as problems of statistical inference, which has led to a concurrent interest in statistical methods that includes Bayesian (Belief) Networks, Dynamic Markov Decision Networks, Pattern Theory, Machine Learning, and other topics in statistics and pattern recognition. PubMed +
Vinogradov, Sophia. Dr. Sophia Vinogradov directs a translational clinical neuroscience laboratory that focuses on cognitive dysfunction in schizophrenia. In collaboration with basic scientists, she studies neuroscience-informed computerized cognitive training exercises for patients with schizophrenia that aim to drive enduring plastic changes in cortical processing. The training programs utilize adaptive algorithms to adjust the difficulty level to maintain a 70-80% correct performance rate, allowing for a customized approach to each individual’s initial performance level and progress rate. Spanning several aspects of cognitive functioning, the exercises fine tune sensory processing speed, working memory, and attention as well as higher-order cognitive processes. In turn, this results in significant improvements in untrained cognitive skills as well as improvements in quality of life. Google +
Wilcox, George. Dr. Wilcox and colleagues are engaged in research into the spinal neurotransmission of pain and mechanisms underlying hyperalgesia, analgesia and analgesic tolerance. Studies of both excitatory and inhibitory neurotransmission in the rodent spinal cord apply behavioral, lectrophysiological (both in vivo and in vitro), immunocytochemical and molecular techniques. Dr. Wilcox facilitates access for Neuroscience students to high performance computing laboratories on campus: The Laboratory for Computational Science & Engineering and The Minnesota Supercomputer Institute (MSI). High performance computers and visualization are now finding applications in biological imaging, macromolecular modeling and neuronal simulation. PubMed +
Zilverstand, Anna. Dr. Zilverstand is a psychologist and neuroimaging expert, faculty in the Department of Psychiatry and Behavioral Science and member of the Medical Discovery Team on Addiction. She leads an interdisciplinary team focused on investigating how individual differences contribute to human drug addiction. Her research group analyzes existing large-scale multimodal data sets, in addition to acquiring their own data by employing a variety of techniques such as interviewing, neurocognitive testing, questionnaires and multi-modal neuroimaging. Novel computational methods are employed for linking social, demographic, neurocognitive, personality and clinical measures to the neuroimaging data, to explore the existence of neurobiological subtypes within the addicted population. Google +
Zimmerman, Jan. The primary research goal of the Z-LAB is to better understand decision making. Making a choice, independent of it being a complex decision about your retirement allocations or which flavor of ice-cream to pick, is the normative consequence of any behavior that is observable. To understand this process, we combine a multitude of tools that allow us to study neural function of non human primates associated to decision making. We combine single cell electrophysiology, computational modeling of neural responses as well as careful behavioral analysis and ultra high field functional magnetic resonance imaging. Google +

U.S. East

PI(Ph.D.s) Research Areas Research +/=/- computational
Chandrasekaran, Chandramouli Understanding how the primate brain makes decisions based on sensory input and guides limb movement. Extensive evidence from stroke patients and physiological/lesion studies in humans suggest that a part of the brain called the dorsal premotor cortex is involved in selecting the appropriate limb movement on the basis of the sensory input. Google +
Eden, Uri Developing mathematical and statistical methods to analyze neueral spiking activity by developing a methodological, statistical framework and applying them to point process observations. Google +
Kon, Mark Quantum probability and information, bioinformatics, machine and statistical learning, mathematical physics, mathematical and computational neuroscience, complexity theory, and wavelets. Google +
Kopell, Nancy Understanding how the dynamical properties of local networks help to filter and transform the patterned input form other parts of the nervous system, to provide clues to the function of dynamics in the nervous system. Google -
Kramer, Mark His research focuses on interdisciplinary topics in mathematical neuroscience with particular emphasis on biophysical models of neural activity and data analysis techniques. He is currently interested in medical applications and networks in neuroscience. Google +
Schwartz, Eric Computational neuroscience, computer vision and robotics, neuroanatomy, neural modeling, brain imaging, physiological bases of meditation. Google +
Scott, Ben Develop and apply new technologies to study the neural basis of cognition and complex learned behavior through biomedical engineering, particularly the development of novel optical imaging and genetic methods to observe and perturb the activity of neurons in their native habitat – the intact brains of living organisms - and neuroethology, the study of brain circuits that underlie natural behaviors in order to elucidate basic principles of brain function. Lab -

PI(Ph.D.s) Research Areas Research +/=/- computational
Epstein, Irving The overall goal of our research is to understand, design and control chemical systems that exhibit complex, nonlinear, dynamic behavior in time and space. This behavior includes periodic oscillation, chaos, wave propagation and pattern formation. Such systems may have important applications to, or provide insights into, related phenomena in biology, physics, mathematics, polymer and materials science. We employ a variety of techniques, both experimental and theoretical, in our work. Google +
Jadhav, Shantanu The Jadhav Lab integrates behavior, electrophysiology, optogenetics and computational analysis to investigate the neural basis of learning, memory and decision making in the mammalian brain. Lab +
Katz, Don We study the neural ensemble dynamics of sensori-motor processes in awake rodents, combining behavior, multi-neuronal electrophysiology, complex analysis and modeling, pharmacology and optogenetics to probe ongoing spiking activity in real-time Google? +
Marder, Eve How do neuromodulators and neuromodulatory neurons reconfigure circuits so that the same group of neurons can produce a variety of behaviorally relevant outputs? How can networks be both stable over the lifetime of the animal despite ongoing turnover of membrane proteins such as channels and receptors? How is network stability maintained over long time periods? To what extent do similar network outputs result from different underlying mechanisms or solutions?. How variable are the sets of parameters that govern circuit function across animals? How can animals with disparate sets of circuit parameters respond reliably to perturbations such as neuromodulators and temperature? Lab +
Miller, Paul Quasi-stable attractor states as a framework for neural computing...Learning and Solving Associative Cognitive Tasks...Parametric Working Memory and Sequential Discrimination...Molecular basis of long-term memory Google +
Touboul, Jonathan My approach often involves data analysis, simplified mathematical models, computer simulations and theoretical and mathematical analysis, using dynamical systems and probability. And in this program, I enthusiastically collaborate with experimentalists, mathematicians and physicists! Google ? +
Van Hooser, Stephen In the Neural Circuits Lab, we apply a new generation of optical and optogenetic tools to observe both fine-scale circuit features and systems-level responses at the same time, in the living brain. We combine these optical approaches with advanced physiological and anatomical techniques to address previously inaccessible questions about neural circuitry and its development in mammalian visual cortex. Google +

PI(Ph.D.s) Research Areas Research +/=/- computational
Bienenstock, Lucien Elie My research is in theoretical neuroscience, computational vision, and computational linguistics. I study the mechanisms used by brains to create and work with complex, detailed, hierarchical representations of the external world ? +
Connors, Barry We discovered that inhibitory neurons in the cortex communicate via electrical synapses, and that electrically coupled networks of neurons can serve as pacemakers for cortical rhythms in the brain. We are also studying how neural activity leads to plasticity of cortical circuits, and how the seizure discharges of epilepsy begin and propagate through the cortex. Our methods include intracellular and extracellular recording and patch clamping, neuroanatomical techniques, isolated slice preparations, optogenetics, and computer modeling. Google +
Cooper, Leon Leon Cooper studies neural networks, including architecture, learning rules, and real world applications; the biological basis of memory and learning; mean field theories; the foundations of quantum theory; and superconductivity. ? +
Donoghue, John Donoghue's lab investigates how the brain turns thought into voluntary behaviors. At the core of this problem is understanding higher level neural coding � or how populations of neurons represent complex information. To study neural coding, scientists in the lab are developing novel multielectrode recording arrays suitable for chronic implantation in the cerebral cortex. ? =
Frank, Michael My research combines multiple levels of computational modeling and experimental work to understand the neural mechanisms underlying reinforcement learning, decision making and cognitive control. We develop neural circuit and algorithmic models of systems-level interactions between multiple brain areas (primarily prefrontal cortex and basal ganglia and their modulation by dopamine). We test theoretical predictions of the models using various neuropsychological, pharmacological, genetic, and imaging techniques. Google +
Geman, Stuart My hypothesis is that the dual principles of re-usability and hierarchy, or what cognitive scientists call compositionality, form the foundation for efficient learning in biological systems; Statistical methods are being devised to support the systematic search for fine-temporal structure in stable multi-unit recordings; These spatio-temporal patterns, with their correlation-induced topologies, would be good candidates for the basic units of cognitive processing... Google +
Hochberg, Leigh Our Laboratory for Restorative Neurotechnology focuses on developing strategies to restore communication, mobility, and independence for people with paralysis or limb loss. In addition to endeavors related to the pilot clinical trial of the BrainGate2 Neural Interface System, we are interested in understanding human intracortical neurophysiology during the planning and production of voluntary movement, and understanding neuronal ensemble function in a variety of neurologic diseases or injuries. Our lab is also engaged in stroke neurorecovery research. Lab +
Jones, Stephanie The Jones Lab combines experimental and theoretical techniques to study human brain dynamics. Our mission is to develop biophysically principled computational models of neural circuits that bridge electrophysiological measures of brain function to the underlying cellular and network level dynamics. We aim to translate an understanding of the network mechanism underlying measured brain signals into strategies to improve disrupt function. Google +
Nurmikko, Arto developing means to record from the brain of primates by employing implantable fully wireless, microelectronically active neural signal probes, with the goal of ‘reading out’ large numbers of individual neurons from different brain microcircuits in real time; developing novel optoelectronic devices as bidirectional brain interfaces and employing these devices in combination with so-called optogenetic methods to study brain function both in vivo and in vitro.; developing a dual-function brain implantable microscale chip which combined both “readout” (by electrical or possibly optical means) and “write-in”... Lab +
Paradiso, Michael The aims of Dr. Paradiso's research are to elucidate the encoding of visual information in cerebral cortex, the computations performed by interacting neurons, and the adaptive use of neural circuitry, with the goal of understanding the mechanisms underlying human visual perception. Lab +
Serre, Thomas My lab seeks to understand the neural computations supporting visual perception. There is little doubt that even a partial solution to the question of which computations are carried out by the visual cortex would be a major breakthrough: It would begin to explain one of our most amazing abilities, vision; and it would open doors to other aspects of intelligence such as language, planning or reasoning. Lab +
Sheinberg, David Research in my lab explores how we identify objects and events in the real world, where both the observer and the environment change over time. Google +
Truccolo, Wilson Collective neural dynamics in neurological disorders (epilepsy, stroke, ALS, spinal cord injury); Stochastic processes and random dynamical systems for multi-scale neural dynamics; Subsampling and spatiotemporal coarse graining of collective neural dynamics; Statistical algorithms for closed-loop neuromedical systems: Tracking, prediction & control of brain dynamics in neurological disorders Google +

PI(Ph.D.s) Research Areas Research +/=/- computational
Ahmari, Susanne How do molecular and circuit changes in the brain cause psychiatric illness? And how can we leverage the inherent plasticity of the brain to treat psychiatric disorders? Google =
Anderson, John R. We have taken on modeling the cognitive competences that are taught in the domains of mathematics, computer programming, and cognitive psychology. Google +?
Barth, Alison Research in the Barth Lab is focused on understanding how experience assembles and alters the properties of neural circuits in the cerebral cortex, in both normal and disease states...In addition, researchers in the lab are using electrophysiological recordings, electron microscopy, and computational modeling to understand how functional networks are constructed and optimized in the neocortex. Lab +
Batista, Aaron Flexibility and constraints in learning and cognition. Improving brain-computer interfaces. Sensory-motor coordination. Google +
Behrmann, Marlene The major approach I use to address these questions is to study the behavior of human adults who have sustained brain damage (usually through stroke or head injury) which selectively affects their ability to carry out these processes... simulations of artificial neural networks which may be used to model these processes and their breakdown following brain-damage; and functional neuroimaging studies which examine the biological substrate of high-level vision. Lab +
Brasier, Daniel ? Google =?
Chase, Steven Broadly speaking, my laboratory investigates how sensory feedback impacts the neural representation of motor intent. One of the major tools we use is the brain-computer interface (BCI)... My research has two main thrusts. First, I develop novel computational and experimental techniques that leverage BCIs as a research tool for investigating the neural mechanisms of sensorimotor adaptation and skill acquisition. Second, I design new BCI decoding algorithms to enhance the performance of these devices and hasten their clinical translation. Lab +
Cohen, Marlene We are interested in how we use vision to gather information about the world and decide how to act. As primates, we perceive the world primarily through our eyes...We use a combination of single and multi-electrode electrophysiology, psychophysics, and computational techniques. Lab +
Colby, Carol ? ? ?
Coutanche, Marc Our lab works at the intersection of neuroscience and psychology, drawing on learning, memory consolidation, sleep, perception, and computer science. Lab +
Creswell, David David’s research focuses broadly on understanding what makes people resilient under stress. Specifically, he conducts community intervention studies, laboratory studies of stress and coping, and neuroimaging studies to understand how various stress management strategies alter coping and stress resilience. Google -?
Danks, David My research largely falls at the intersection of philosophy, cognitive science, and machine learning, using ideas and frameworks from each to inform the others. My primary research in recent years has been in computational cognitive science: developing fully-specified computational models to describe, predict, and most importantly, explain human behavior (in causal cognition, concepts and categories, and most recently, linguistics). Google +
Doiron, Brent Theoretical Neuroscience. Cellular and synaptic dynamics; Network dynamics and neural coding; Cognitive processing Google +
Eddy, William F. In the last couple of years I have become keenly interested in the statistical problems associated with fMRI. A typical fMRI experiment run by a cognitive psychologist produces as much as 1 gigabyte of data per hour. The computational challenges are obvious. Google +?
Erickson, Kirk In The Brain Aging & Cognitive Health Lab we investigate how the mind and brain change with age and the factors that promote successful aging. To do this, we use a variety of neuropsychological assessments, genetic testing, physical fitness testing, magnetic resonance imaging (MRI) and positron emission tomography (PET). Lab =?
Ermentrout, Bard G. Olfactory Navigation;Dynamics and phase resetting;Pattern formation in neural systems;Waves and persistent states in neural systems; Modeling the inflammatory response; Google +
Fiez, Julie Our basic research examines the neural basis of speech, language, reading, working memory, and learning in healthy and patient populations. Complementary applied research draws upon this foundation to inform studies on effective instruction and intervention in reading and math. We use behavioral measures, magnetic resonance imaging, magnetoencephalography, and neuropsychological methods to discover how the brain gives rise to the mind. Google =?
Gandhi, Neeraj J. Tricking the brain into high gear: probing the link between attention and intention; Neural coding through population dynamics; Neural Substrate Underlying Saccades to Moving Targets Google =?
Genovese, Christopher R. Currently, in neuroscience, I am working with different groups to study the remapping of human's visual representation during and after eye movements and the role of the amygdala and pre-frontal cortex in depression ? +
Ghuman, Avniel Specifically, we examine the spatiotemporal dynamics of how neural activity reflects the stages of information processing and how information flow through brain networks responsible for visual perception. We are particularly interested in the dynamic neural representation of faces, bodies, objects, words, and social and affective visual images. Lab =?
Gittis, Aryn Our research seeks to understand how neural circuits in the basal ganglia are organized and function to shape movement in health and disease. We use optogenetics, electrophysiology, histology, and behavior to study the function of neural circuits in brain slices and in vivo. Google =?
Grover, Pulkit Our lab seeks to attain this understanding through a mix of thought and laboratory experiments, spanning examination of fundamental limits all the way to experiments. Current topics of interest include fundamental and practical understanding of circuits and systems for processing and communicating information; flow of information in neural systems and neural interfaces (and use of this understanding to design radically new neural interfaces); and understanding information and its use by exploring the union of control and communication. Google =?

PI(Ph.D.s) Research Areas Research +/=/- computational
Abbott, Larry Collaborating with experimentalists. He works with pen and paper, or with computer simulations, to build models of systems other neuroscientists are studying in their labs. Some models are highly abstract, while others contain considerable biophysical detail. Google +
Miller, Ken Use theoretical and computational methods to unravel the circuitry of the cerebral cortex, the rules by which this circuitry develops or "self-organizes", and the computational functions of this circuitry. Our guiding hypothesis -- motivated by the stereotypical nature of cortical circuitry across sensory modalities and, with somewhat more variability, across motor and "higher-order" cortical areas as well -- is that there are fundamental computations done by the cortical circuit that are invariant across highly varying input signals. Google +
Cunningham, John Machine learning and its application to science and industry, including in particular using the tools of artificial intelligence to understand biological intelligence and other complex processes. Lab +
Fusi, Stefano He is using math to better understand how the brain itself computes information, especially as related to problem solving, reasoning and decision-making. PubMed -
Litwin-Kumar, Ashok Learning algorithms and their neural implementations. How do organisms use their past experiences to adapt their current behavior? How do these neural algorithms compare to those studied in machine learning and artificial intelligence? We approach these questions by working closely with experimental collaborators and building well-constrained models of learning and synaptic plasticity. ? =
Paninski, Liam I want to build good models of the neural code and use these models to make predictions about mechanisms, decode spike trains, predict responses to novel stimuli, etc. I'm interested in statistical analysis at various levels of the neural code, from ensembles of simultaneously-recorded spike trains down to voltage fluctuations in individual dendritic compartments. Lab +

PI(Ph.D.s) Research Areas Research +/=/- computational
Aponte, Yeka Our interest is to understand how genetically-identified cell types and their projections drive behaviors essential for survival. Using the mouse as our model system, we apply optogenetics and chemogenetics to manipulate neuronal circuits in awake, behaving mice. In addition, we use a combination of electrophysiology, two-photon fluorescence endomicroscopy, and behavioral assays to elucidate the neuronal basis of survival behaviors, such as feeding, and to determine how these neuronal circuits drive the rewarding and addictive nature of food intake. ? -
Bastian, Amy My laboratory studies the movements of adults and children who have damage or disease of the central nervous system. We are interested in understanding the mechanisms of different types of movement disorders, as well as how and why different treatments improve movement. We are actively studying how new movements are "learned" and what the course of movement recovery following different types brain damage is. Google -
Shadmehr, Reza Our goal is to understand movement control in humans. Our approach stresses a close integration of the viewpoints from robotics and control theory with neuroscience to provide a unique perspective on the nature of the biological computations that underlie the control of movements. Our ultimate goal is to use the language of mathematics to describe how the various parts of the brain contribute to control of movement in humans. Google +
Stuphorn, Veit I am interested in the neurophysiological mechanisms that underlie decision-making and self-control, two essential functions of higher executive processes. To this end, in my lab we record the activity of single neurons in awake animals that are engaged in decision-making. This allows us to identify the types of signals that neurons in specific parts of the brain represent and the computations they carry out. I will also study human subjects in the same tasks with the help of fMRI. These parallel experiments will provide comparative information about decision processes in human and non-human primates. Google +

PI(Ph.D.s) Research Areas Research +/=/- computational

Massachussetts Institute of Technology BCS or CBMM(^toc)

PI(Ph.D.s) Research Areas Research +/=/- computational
Bear, Mark COur overarching interest is in the question of how experience and deprivation modify synaptic connections in the brain. Experience-dependent synaptic plasticity is the physical substrate of memory, sculpts connections during postnatal development to determine the capabilities and limitations of brain functions, is responsible for the reorganization of the brain after damage, and is vulnerable in numerous psychiatric and neurological diseases and contributes to their symptoms. Google +
DiCarlo, James DiCarlo’s research goal is to reverse engineer the brain mechanisms that underlie human visual intelligence. He and his collaborators have revealed how population image transformations carried out by a deep stack of interconnected neocortical brain areas — called the primate ventral visual stream — are effortlessly able to extract object identity from visual images. His team uses a combination of large-scale neurophysiology, brain imaging, direct neural perturbation methods, and machine learning methods to build and test neurally-mechanistic computational models of the ventral visual stream and its support of cognition and behavior. Google +
Fee, Michale For the past six years, our laboratory has focused on studying the cellular, circuit, and mechanical underpinnings of songbird vocalizations. In one current project, we are studying nucleus RA, an area that projects directly to motor neurons of the vocal organ. During song, RA neurons each generate a distinctive and reproducible sequence of brief bursts of spikes. Using a new miniature motorized microdrive developed in this lab (see below), we have been able to record from large populations of RA neurons (~50) in the singing bird to understand how premotor activity maps to vocal output. Google +
Jazayeri, Mehdrad The Jazayeri lab aims to understand the building blocks of cognition. The brain has a remarkable ability to generate complex behaviors by combining sensory evidence, prior experience, and cost-benefit considerations. Jazayeri’s research probes the neural mechanisms that allow the brain to integrate this plethora of cues, resulting in flexible, goal-directed behavior. Google +
Sompolinsky, Haim Sompolinsky’s research goal is to uncover the fundamental principles of the organization, the dynamics and the function of the brain, viewing the brain through multiscale lenses, spanning the molecular, the cellular, and the circuit levels. To achieve this goal, Sompolinsky has developed new theoretical approaches to computational neuroscience based on the principles and methods of statistical physics, and physics of dynamical and stochastic systems. Google +
Sur, Mriganka The Sur laboratory studies the development, plasticity and dynamics of circuits in the cerebral cortex of the brain. The developing brain requires a genetic blueprint but is also acutely sensitive to experience and the environment. The adult brain responds to external stimuli, and modulates these responses by internal states such as attention, through dynamic changes in information transmission and processing. Lab +
Tenenbaum, Joshua Current research in our group explores the computational basis of many aspects of human cognition: learning concepts, judging similarity, inferring causal connections, forming perceptual representations, learning word meanings and syntactic principles in natural language, noticing coincidences and predicting the future, inferring the mental states of other people, and constructing intuitive theories of core domains, such as intuitive physics, psychology, biology, or social structure. Google +
You can’t perform that action at this time.