ganguli-lab / twpca
🕝 Time-warped principal components analysis (twPCA)
☆125Updated 3 years ago
Alternatives and similar repositories for twpca:
Users that are interested in twpca are comparing it to the libraries listed below
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- 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
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 11 months ago
- A class for using ML algorithms for spike prediction☆59Updated 7 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- An algorithm for unsupervised discovery of sequential structure☆164Updated last year
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆289Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Deconvolution of calcium imaging data☆90Updated last month
- Python tools for analysis of neurophysiology data☆36Updated last year
- Recurrent Switching Linear Dynamical Systems☆106Updated last year
- An algorithm for unsupervised discovery of sequential structure☆25Updated 6 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- Dynamical Components Analysis☆32Updated last year
- Information Theoretic Tools for Python☆91Updated 5 years ago
- Multichannel time series lossless compression in pure Python based on NumPy and zlib☆39Updated 7 months ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- YASS: Yet Another Spike Sorter☆66Updated 2 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
- Some python functions to supplement the NEURON python module☆29Updated 5 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
- Elephant is the Electrophysiology Analysis Toolkit☆205Updated last month
- 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
- NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.☆31Updated 5 years ago