rcofre Goto Github PK
Name: Rodrigo Cofre
Type: User
Company: CNRS
Bio: I'm broadly interested in physics, mathematics, neurosciences, computer science, arts, education, and technology.
Location: Paris
Name: Rodrigo Cofre
Type: User
Company: CNRS
Bio: I'm broadly interested in physics, mathematics, neurosciences, computer science, arts, education, and technology.
Location: Paris
Mean field model for Hodgkin Huxley networks of neurons (Carlu et al 2020)
Final version of the 2D mean field model for the simulation of propagating waves
Simulations
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.
Implementation of brain communication analyses across mammalian species
Convenient Interface to Inverse Ising (ConIII)
Code reproducing the experiments of this paper https://arxiv.org/abs/1704.05255
Python package for information theory.
Default-mode network parcellation. Wang, Taren, Tepfer, Smith.
EEG microstate analysis and development during anesthesia
Uncertainty and causal emergence in complex networks
A jupyter notebook with some stuff on the FT
MATLAB code for learning some published generative models of neural responses.
Hierarchical brain network model (Demirtas et al., 2019)
A Python module for detecting, analysing and visualising persistent homological features of complex networks
Statistical Mechanics 2D Ising Model Simulations
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.
Maximum Entropy toolbox for MATLAB
Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain
A series of scripts and tools to model large scale biophysical models for fMRI.
Easy whole-brain modeling for computational neuroscientists 👩🏿🔬💻🧠
Python exercises accompanying the book "Neuronal Dynamics"
A MATLAB toolbox for performing information theory analyses of neuroscience data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.