Alternatives and similar repositories for GLMCC:

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

• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆29Updated 2 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated last week
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆48Updated 5 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 4 months ago
• Dynamics-of-Neural-Systems-Lab / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆58Updated 3 weeks ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆37Updated 5 years ago
• neurallatents / nlb_workshop
  ☆19Updated 3 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆44Updated 5 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆14Updated last year
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆68Updated 4 years ago
• MouseLand / pykilosort
  WIP: Python port of Kilosort2
  ☆50Updated last year
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆34Updated 6 years ago
• pillowlab / GLMspiketraintutorial
  Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data
  ☆92Updated 2 years ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated last month
• awillats / dynamics-in-neuro-reading-list
  This reading list is centered around the practical application of linear dynamical systems models to predict neural data
  ☆37Updated 3 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated this week
• PeyracheLab / Tutorial_HDPlaceCells_Analysis
  A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.
  ☆14Updated 6 years ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆42Updated last year
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆25Updated last year
• flatironinstitute / spikeforest2
  SpikeForest -- spike sorting analysis for website -- version 2
  ☆34Updated 2 years ago
• nelpy / nelpy
  Neuroelectrophysiology object model and data analysis in Python.
  ☆51Updated last week
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆25Updated this week
• murthylab / GLMHMM
  ☆22Updated 5 years ago
• ShanechiLab / torchDFINE
  ☆29Updated last year
• glaserlab / sca
  Sparse component analysis
  ☆26Updated last month
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago