pillowlab / LNPfittingLinks
Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
☆19Updated 7 years ago
Alternatives and similar repositories for LNPfitting
Users that are interested in LNPfitting are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of LocaNMF☆36Updated 5 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 6 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Python tools for analysis of neurophysiology data☆37Updated 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 8 years ago
- ☆56Updated 7 months ago
- YASS: Yet Another Spike Sorter☆70Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆45Updated last month
- latent manifold tuning model / P-GPLVM☆13Updated 6 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆55Updated 7 months ago
- ☆24Updated 5 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- An algorithm for unsupervised discovery of sequential structure☆169Updated last year
- Code for Galgali et al, 2023☆13Updated 2 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆31Updated last year
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆96Updated 3 years ago
- IBL core shared libraries☆63Updated last week
- IaC codebase for the NeuroCAAS Platform☆38Updated last year
- non-parametric inference for convolutional filters in poisson glms☆13Updated 4 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated 2 months ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- Revealing neural correlates of behavior without behavioral measurements☆15Updated 5 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆50Updated last month
- Matlab codepack for performing dimensionality reduction on neural data using TD-GPFA or GPFA.☆21Updated 8 years ago