rcofre Goto Github PK

263259

Mean field model for Hodgkin Huxley networks of neurons (Carlu et al 2020)

2dmodel-roques2020

Final version of the 2D mean field model for the simulation of propagating waves

academic-kickstart

biophysical-neural-networks

Simulations

boltzmann_machine-rbm-mcmc-ising_model

Contains implementations of MCMC methods for the fully connected Ising Model (Curie-Weiss). Then, we also run numerical simulations for fully visible Boltzmann Machine, for Bernoulli-Bernoulli RBM and Bernoulli-Gaussian RBM. For this the Contrastive Divergence and the persistent Contrastive Divergence algorithm were implemented for BM and RBM.

braincomm_mammalian_evolution

Implementation of brain communication analyses across mammalian species

coniii

Convenient Interface to Inverse Ising (ConIII)

criticality-as-it-could-be

Code reproducing the experiments of this paper https://arxiv.org/abs/1704.05255

cursopython

cursothe-com

dit

Python package for information theory.

dmn-parcellation

Default-mode network parcellation. Wang, Taren, Tepfer, Smith.

eegmicrostate_anesthesia

EEG microstate analysis and development during anesthesia

einet

Uncertainty and causal emergence in complex networks

fourier-transform

A jupyter notebook with some stuff on the FT

generative-neural-models

MATLAB code for learning some published generative models of neural responses.

geospatial

hbnm

Hierarchical brain network model (Demirtas et al., 2019)

holes

A Python module for detecting, analysing and visualising persistent homological features of complex networks

ising-monte-carlo

Statistical Mechanics 2D Ising Model Simulations

ising_inference

Code for learning pairwise Ising models using the data-driven algorithm presented in: Learning Maximal Entropy Models from finite size datasets: a fast Data-Driven algorithm allows to sample from the posterior distribution, by U. Ferrari, Phys. Rev. E, 94, 2, 2018.

ising_sampling

local_scfc

maxent_toolbox

Maximum Entropy toolbox for MATLAB

mkl

Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain

modelling_comparisons

A series of scripts and tools to model large scale biophysical models for fMRI.

neurolib

Easy whole-brain modeling for computational neuroscientists 👩🏿‍🔬💻🧠

neuromod2020

neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

neuroscience-information-theory-toolbox

A MATLAB toolbox for performing information theory analyses of neuroscience data