Global Minds, Remote Labs: Bridging Ideas & Experiments Across Borders

• University of Michigan: Advancing optical stimulation in "DishBrain" experiment replicas.

• FinalSpark: Delving into human cortical spheroid learning mechanisms.

• University of Reading: Innovative use of bacteria in neural networks.

In the nexus of neuroscience and cutting-edge technology lies an unprecedented opportunity that beckons forward-thinking visionaries. Our trailblazing EEG research stands at this intersection, promising to revolutionize the interface between the human mind and machines, especially in the spheres of invasive brain-computer interfaces (BCIs) and the avant-garde human cortical organoid-computer interfaces. Picture a world where our deepest thoughts, with all their intricate nuances, can seamlessly synchronize with digital platforms, amplifying human potential and redefining our very interaction with technology.

By delving deep into EEG data, extracting intricacies like amplitude, dominant frequencies, and unique cerebral signatures, we're not just enhancing BCIs, but architecting the very future of human-tech symbiosis. Our approach capitalizes on the rich reservoir of existing BCI insights, but with an ambitious twist: We're not just catering to the scientific elite, but crafting interfaces that resonate with the everyday user.

However, the crux of our vision, the real game-changer for discerning investors, lies in our broader mission. Beyond the realm of technological marvels and groundbreaking research, we're set on democratizing this frontier innovation. Our aspiration? To launch publicly available, low-cost, bio-silicon hybrid computers that harmoniously meld biology with technology. This isn't just a leap in computing; it's a seismic shift in how we envision the tech ecosystem.

To the visionary venture capital groups reading this: This is more than an investment; it's an invitation to shape the future, to be at the helm of a technological renaissance. Join us, and together, let's create a legacy of innovation, inclusivity, and immeasurable impact.

Towards the Future of Human Cortical Organoid Research: Bridging Dynamical Systems with AI

At the crux of our evolving research trajectory is the intention to venture deeply into human cortical organoid experimentation. Our foundation lies in the rigorous analysis of EEG data. We've unearthed profound insights into the dynamical systems, chaos theory, and nonlinear dynamics that underpin these EEG signals. Our nuanced exploration has decoded the intricate patterns and diversions that are reflective of complex neural activities.

Building on this EEG data foundation, our Synthetic Biological Interface (SBI) project team is poised to embark on pioneering endeavors. One of our most anticipated projects involves the prospective implantation of human cortical organoids into neonatal rats. This fusion is designed to yield a synergistic rat-human hybrid brain system. Beyond this, we're conceptualizing a bacteria+organoid neural interface. By leveraging the unique electrical signaling properties of bacteria's natural nanowires and pili, in tandem with the organoid's extracellular matrix, we foresee a potent biological confluence. Augmented by the precision of optogenetics, our vision promises to challenge existing paradigms of neurobiological interfacing.

Transitioning from this preliminary stage, our endgame involves the seamless integration with our Closed Loop AI System. This AI, designed to comprehend the features and events derived from our forthcoming experiments, will translate these insights into actionable outputs, be it in a simulated game environment or other dynamic scenarios. Additionally, it will offer real-time feedback, enriching our bio-hybrid system with a continuous loop of information and adaptation. We stand at the precipice of a new era in bio-digital research, and we eagerly invite fellow visionaries to join us on this transformative journey.

We are looking for researchers of all levels to join, from the following subjects:

AI and Machine Learning

Algorithms for Bio-signal Interpretation

Applied Mathematics

Biochemistry

Biocompatible Interface Design

Biocompatible Materials Development

Biocompatible Materials Science

Bioinformatics and Computational Biology

Biomedical Engineering

Biophysics

Biostatistics

Bifurcation Theory

Cellular Engineering

Chaos Theory and Applications

Circuitry Schematic Designing

Cognitive Science

Communication Systems

Complex Systems Analysis

Computer Science and Software Engineering

Control Systems Engineering

CRISPR-Cas Systems and Applications

Cybersecurity

Dynamical Systems Theory

Electrical and Electronics Engineering

Electrophysiology

Embedded Programming

Environmental Engineering

Epigenetics and Epitranscriptomics

Ethical and Legal Considerations

Feature Extraction and Selection

Fractal Geometry in Signal Analysis

Functional Genomics

Game Design and Development

Game Mechanics and AI in Gaming

Genetic Circuit Design

Genetic Engineering

Genomic Editing Techniques

Host-Pathogen Interactions

Immunology

Lyapunov Exponents and Stability Analysis

Material Science

Metabolic Engineering

Microbiology

Microfluidics and Biophysics

Molecular Biology

Nanotechnology/Nanobiotechnology

Neuroscience/Neurobiology

Nonlinear Control Theory

Nonlinear Dynamics

Optogenetics and Photonics

Pathway Engineering

Phase Space Reconstruction

Pharmacology

Plasmid Design and Construction

Protein Engineering

Regulatory Biology

Risk Management and System Optimization

Signal Processing

Stochastic Processes

Synthetic Biology

Systems Biology

Systems Engineering

Stem Cell Biology

Time-Series Analysis

Tissue Engineering

Topological Data Analysis

Viral Vector Development and Delivery

Wavelet Analysis