mackelab / poisson-gpfaLinks
Gaussian process factor analysis with Poisson observations
☆18Updated 3 years ago
Alternatives and similar repositories for poisson-gpfa
Users that are interested in poisson-gpfa are comparing it to the libraries listed below
Sorting:
- 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
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 5 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 10 months ago
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- An algorithm for unsupervised discovery of sequential structure☆166Updated last year
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- Extracting neuronal functional network dynamics via adaptive Granger causality analysis☆18Updated 7 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆303Updated 3 years ago
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated last week
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆42Updated 6 years ago
- ☆24Updated 9 months ago
- Tutorial☆11Updated 4 years ago
- Revealing neural correlates of behavior without behavioral measurements☆15Updated 5 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆94Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 7 years ago
- ☆55Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- YASS: Yet Another Spike Sorter☆70Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- Multichannel time series lossless compression in pure Python based on NumPy and zlib☆40Updated 4 months ago