libertyh / ising-modelLinks
Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
☆18Updated 8 years ago
Alternatives and similar repositories for ising-model
Users that are interested in ising-model are comparing it to the libraries listed below
Sorting:
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆15Updated 7 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- My PhD Thesis☆22Updated 9 years ago
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆15Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Automated dynamical systems inference☆38Updated 2 years ago
- a repository containing everything relevant to our fast non-negative deconvolution work☆35Updated 9 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆54Updated 9 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- This is the page for the book Digital Signal Processing with Kernel Methods.☆46Updated 8 years ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 6 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- Some python functions to supplement the NEURON python module☆29Updated 6 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 6 years ago
- Benchmark of online PCA algorithms☆22Updated 7 years ago
- code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings☆27Updated 9 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- ☆17Updated 10 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆232Updated 2 years ago
- ☆28Updated 6 years ago
- ☆52Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Python tools for analysis of neurophysiology data☆37Updated 2 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆176Updated last year
- Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains☆10Updated 6 years ago
- Automatic ROI Detection☆19Updated 10 years ago