libertyh / ising-model
Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
☆18Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for ising-model
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆14Updated 2 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆13Updated 6 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- My PhD Thesis☆21Updated 8 years ago
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆10Updated 4 years ago
- A quickstart guide to tensor decomposition☆69Updated 2 years ago
- ☆28Updated 5 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 6 years ago
- code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings☆26Updated 8 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆48Updated 8 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆12Updated last year
- Matlab code implementing Minimum Probability Flow Learning.☆67Updated 10 years ago
- Gaussian Process Factor Analysis☆28Updated 9 years ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- Website for the MIT/Harvard Computational Neuroscience Journal Club☆11Updated last year
- Some python functions to supplement the NEURON python module☆27Updated 5 years ago
- Event-Driven CD in Spiking Neural Networks☆21Updated 8 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆25Updated 10 months ago
- Neural Optimal Feedback Control☆11Updated 2 years ago
- Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…☆60Updated last year
- Matlab package implementing blind deconvolution method for neural spike recovery☆14Updated 8 years ago
- Python tools for analysis of neurophysiology data☆36Updated last year
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- ☆46Updated 3 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆19Updated 4 years ago