Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks
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Updated
Apr 13, 2017 - MATLAB
Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks
Neural Spike Train Analysis
MATLAB module for assessing the causal links between time series
MATLAB codes that generate random neuron spikes and convert them into fluorescence data
Functions to plot various parameters of the HH neuron model
Simulation of integrated information in biological systems.
Benchmark of derivative-free optimization algorithms applied to models in cognitive and neural science.
The Hopfield network, a point attractor network, is modified here to investigate the behavior of the resting state challenged with varying degrees of noise.
Introductory workshop to modeling and model fitting in psychophysics and neuroscience
LiFE-GPU-opt software is an optimized implementation of the compute-intensive matrix operations of the LiFE algorithm for GPUs.
This project is to model the Calcium dynamics during long term potential triggered by repetitive pre-post spike pairs.
code to infer model parameters from data (first dedicated to the dynamic clicks task)
Introductory workshop to modeling and model fitting in cognitive and computational neuroscience
Collection of Matlab projects & experiments
MS Thesis: Models for propagating facilitation in the Insect Visual System.
Code for - Joshi, S.N., Dau, T. and Epp, B., 2017. A model of electrically stimulated auditory nerve fiber responses with peripheral and central sites of spike generation. Journal of the Association for Research in Otolaryngology, 18(2), pp.323-342.
Striatal microcircuit generation and data analysis
Supplementary code for the RNN models in: "Attractor dynamics gate cortical information flow during decision-making" (2021) Arseny Finkelstein, Lorenzo Fontolan, Michael N. Economo, Nuo Li, Sandro Romani, and Karel Svoboda
Assignments for the course of Computational Neuroscience @ Unipi
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
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