bantin / jPCALinks
jPCA for Neural Data Analysis in Python
☆50Updated last year
Alternatives and similar repositories for jPCA
Users that are interested in jPCA are comparing it to the libraries listed below
Sorting:
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆48Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- ☆52Updated 2 years ago
- ☆22Updated 2 weeks ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 3 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆70Updated 5 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆28Updated 2 months ago
- A package to train neural networks to perform various motor tasks☆67Updated 3 weeks ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last month
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Home of the neural decode algorithm MINT.☆17Updated 4 months ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 7 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆20Updated last month
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- Preferential Subspace Identification Algorithm☆52Updated last week
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆30Updated 10 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 8 months ago
- ☆23Updated 6 months ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated 10 months ago
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days☆63Updated last week
- ☆16Updated 2 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆40Updated 5 years ago
- ☆23Updated 5 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆72Updated 3 months ago
- ☆52Updated 3 months ago
- Visualization of electrophysiological data from Elephant☆24Updated 7 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆98Updated this week
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago