BouchardLab / DynamicalComponentsAnalysis

Related projects ⓘ

Alternatives and complementary repositories for DynamicalComponentsAnalysis

• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated last year
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆99Updated last year
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 5 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 6 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆16Updated 7 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆72Updated 4 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆48Updated 3 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆57Updated 5 months ago
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years ago
• schung039 / neural_manifolds_replicaMFT
  ☆70Updated 2 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• gallantlab / tikreg
  Tikhonov regression in python
  ☆28Updated last year
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆29Updated 2 years ago
• nrdg / fracridge
  Fractional ridge regression
  ☆46Updated 2 years ago
• anne-urai / largescale_recordings
  Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…
  ☆18Updated 2 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆49Updated 3 years ago
• slinderman / pyhsmm_spiketrains
  Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
  ☆13Updated 6 years ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆50Updated 7 months ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• nirum / jetplot
  🔋 Utilities for scientific python
  ☆20Updated 3 months ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆28Updated 9 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 3 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆62Updated last year
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆12Updated 2 years ago
• berenslab / RFEst
  A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.
  ☆24Updated 3 months ago