slinderman / pyhsmm_spiketrains
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
- Dimensionality reduction of spikes trains☆49Updated 3 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
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- ☆23Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆64Updated last year
- code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings☆27Updated 9 years ago
- ☆9Updated 4 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Code for Galgali et al, 2023☆13Updated 2 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
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 11 months ago
- Recurrent Switching Linear Dynamical Systems☆106Updated last year
- This repository contains the main scripts for local linear segmentation and subsequent analysis of the resulting model space☆14Updated 4 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- My PhD Thesis☆22Updated 8 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- Python tools for analysis of neurophysiology data☆36Updated last year
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 7 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated 2 months ago
- autoregressive plugin☆27Updated 2 years ago
- SpikeForest -- spike sorting analysis for website☆16Updated 4 years ago