slinderman / pyhsmm_spiketrainsLinks
Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
☆14Updated 6 years ago
Alternatives and similar repositories for pyhsmm_spiketrains
Users that are interested in pyhsmm_spiketrains are comparing it to the libraries listed below
Sorting:
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 7 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
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- ☆23Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆100Updated last year
- Black box variational inference for state space models☆2Updated 9 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 2 years ago
- My PhD Thesis☆22Updated 9 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 3 weeks ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- ☆9Updated 5 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Implementation of fixed point analysis for Recurrent Neural Network.☆21Updated 5 years ago
- 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
- code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings☆27Updated 9 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 6 years ago
- Gaussian process factor analysis with Poisson observations☆18Updated 3 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago