Alternatives and similar repositories for TME

Users that are interested in TME are comparing it to the libraries listed below

• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆69Updated 2 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 years ago
• gamaleldin / CFR
  This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…
  ☆10Updated 8 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆30Updated 10 years ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆54Updated last year
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 7 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆35Updated 7 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• paninski-lab / yass
  YASS: Yet Another Spike Sorter
  ☆70Updated 3 years ago
• KordingLab / spykes
  Tools for spike data analysis and visualization
  ☆108Updated 2 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• xjwanglab / book
  ☆31Updated 2 months ago
• catniplab / NPGLM
  non-parametric inference for convolutional filters in poisson glms
  ☆13Updated 4 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆39Updated last year
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 2 months ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆47Updated 6 years ago
• neuromusic / crcnsget
  cli for downloading data from crcns.org
  ☆31Updated last year
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆30Updated 6 months ago
• aiweber / GLM_and_Izhikevich
  This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…
  ☆13Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 5 months ago
• marius10p / NeuralDataScienceCSHL2019
  Coding exercises for Neural Data Science at CSHL in 2019
  ☆29Updated 5 years ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆84Updated last month
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆72Updated 5 years ago
• nicholas-roy / psytrack
  ☆54Updated 7 months ago
• dmeliza / biopreprint
  Preprint classes for biological journals
  ☆30Updated 4 years ago
• xjwanglab / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆38Updated 9 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 6 years ago