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
Alternatives and similar repositories for ising-model:
Users that are interested in ising-model are comparing it to the libraries listed below
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆14Updated 2 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- My PhD Thesis☆22Updated 8 years ago
- A quickstart guide to tensor decomposition☆69Updated 2 years ago
- Some python functions to supplement the NEURON python module☆28Updated 5 years ago
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆10Updated 4 years ago
- SpikeForest -- spike sorting analysis for website☆16Updated 4 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- Python tools for analysis of neurophysiology data☆36Updated last year
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 10 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 8 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆11Updated 2 years ago
- Gaussian Process Factor Analysis☆28Updated 9 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains☆10Updated 5 years ago
- ☆9Updated 4 years ago
- Neural Optimal Feedback Control☆11Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆64Updated last year
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- Code for Galgali et al, 2023☆12Updated 2 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- The official re-implementation of the Neurips 2021 paper, "Targeted Neural Dynamical Modeling".☆10Updated 2 years ago
- Python code for estimation of linear-nonlinear model parameters☆22Updated 3 years ago