catniplab / vlgp
Dimensionality reduction of spikes trains
☆49Updated 3 years ago
Alternatives and similar repositories for vlgp:
Users that are interested in vlgp are comparing it to the libraries listed below
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 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 7 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated last year
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- Gaussian process factor analysis with Poisson observations☆18Updated 2 years ago
- Recurrent Switching Linear Dynamical Systems☆106Updated last year
- Black box variational inference for state space models☆1Updated 8 years ago
- Python tools for analysis of neurophysiology data☆36Updated last year
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 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
- YASS: Yet Another Spike Sorter☆66Updated 2 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- ☆48Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆65Updated last year
- Dynamical Components Analysis☆32Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Some python functions to supplement the NEURON python module☆29Updated 5 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- Pytorch implementation of LocaNMF☆35Updated 5 years ago
- ☆23Updated last year
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆34Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago