slinderman / pyglm
Interpretable neural spike train models with fully-Bayesian inference algorithms
ā47Updated 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 trainsā49Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.ā49Updated 9 years ago
- š Time-warped principal components analysis (twPCA)ā126Updated 4 years ago
- Tools for spike data analysis and visualizationā104Updated 2 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Researchā27Updated 8 years ago
- Pytorch implementation of lfads, and hierarchical extensionā26Updated 3 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and nā¦ā44Updated 10 years ago
- A class for using ML algorithms for spike predictionā60Updated 7 years ago
- Python tools for analysis of neurophysiology dataā37Updated last year
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.ā14Updated 6 years ago
- Recordings of 10k neurons during spontaneous behaviorsā51Updated last year
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified ā¦ā18Updated 7 years ago
- YASS: Yet Another Spike Sorterā66Updated 2 years ago
- Dynamical Components Analysisā32Updated last year
- My PhD Thesisā22Updated 8 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networksā96Updated 8 months ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlationsā19Updated 3 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)ā49Updated 3 years ago
- Recurrent Switching Linear Dynamical Systemsā109Updated last year
- Black box variational inference for state space modelsā1Updated 8 years ago
- š Utilities for scientific pythonā19Updated 8 months ago
- Gaussian process factor analysis with Poisson observationsā18Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).ā37Updated 5 years ago
- Deep learning in a spiking neural network using segregated dendrites.ā84Updated 7 years ago
- Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`ā14Updated 3 years ago
- Gaussian Process Factor Analysisā30Updated 9 years ago
- ā94Updated 6 years ago
- autoregressive pluginā27Updated 2 years ago
- A quickstart guide to tensor decompositionā70Updated 2 years ago
- latent manifold tuning model / P-GPLVMā12Updated 5 years ago