slinderman / pyglm
Interpretable neural spike train models with fully-Bayesian inference algorithms
☆47Updated 6 years ago
Alternatives and similar repositories for pyglm:
Users that are interested in pyglm are comparing it to the libraries listed below
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆125Updated 3 years ago
- Python tools for analysis of neurophysiology data☆36Updated last year
- A class for using ML algorithms for spike prediction☆59Updated 7 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 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
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Dynamical Components Analysis☆32Updated last year
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 11 months 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
- 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
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- 🔋 Utilities for scientific python☆19Updated 7 months ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆94Updated 7 months ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- YASS: Yet Another Spike Sorter☆66Updated 2 years ago
- Gaussian process factor analysis with Poisson observations☆18Updated 2 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures☆44Updated last year
- An algorithm for unsupervised discovery of sequential structure☆164Updated 11 months ago
- Calculate phase-amplitude coupling in Python (and Matlab).☆24Updated 7 years ago
- cli for downloading data from crcns.org☆31Updated last year
- My PhD Thesis☆22Updated 8 years ago