Alternatives and similar repositories for recurrent-slds

Users that are interested in recurrent-slds are comparing it to the libraries listed below

• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 2 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 4 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆102Updated last year
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆650Updated 5 months ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆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…
  ☆35Updated 7 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆33Updated last month
• mattjj / pyslds
  ☆98Updated 7 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 5 months ago
• gamaleldin / TME
  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
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆198Updated 4 months ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆30Updated 10 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆37Updated 5 years ago
• mackelab / poisson-gpfa
  Gaussian process factor analysis with Poisson observations
  ☆19Updated 3 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆140Updated last year
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 6 months 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
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆13Updated 3 years ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆50Updated 2 weeks ago