Alternatives and similar repositories for gpfa:

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

• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆17Updated 7 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• mackelab / poisson-gpfa
  Gaussian process factor analysis with Poisson observations
  ☆18Updated 2 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 3 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 years ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆50Updated 9 months ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• gamaleldin / CFR
  This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…
  ☆10Updated 7 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year
• Arsha89 / AGC_Analysis
  Extracting neuronal functional network dynamics via adaptive Granger causality analysis
  ☆19Updated 6 years ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 2 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 5 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆63Updated last year
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆46Updated 3 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆12Updated 2 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆69Updated 2 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆43Updated 5 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 6 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆26Updated 2 years ago
• MouseLand / EnsemblePursuit
  ☆9Updated 4 years ago
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆38Updated 5 years ago
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 7 years ago
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆33Updated 2 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆38Updated 3 months ago
• ikinsella / locaNMF
  Pytorch implementation of LocaNMF
  ☆34Updated 4 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• ShanechiLab / PSID
  Preferential Subspace Identification Algorithm
  ☆47Updated 11 months ago
• murthylab / GLMHMM
  ☆21Updated 5 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated last year