Alternatives and similar repositories for cosyne-2023-generative-models:

Users that are interested in cosyne-2023-generative-models are comparing it to the libraries listed below

• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated last week
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years 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
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆14Updated last year
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago
• 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
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆29Updated 2 years ago
• glaserlab / sca
  Sparse component analysis
  ☆26Updated last month
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆29Updated 2 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated this week
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated 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
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 4 months ago
• 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
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆64Updated last year
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆17Updated last year
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆33Updated 11 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 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 …
  ☆18Updated 7 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆18Updated last month
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 8 months ago
• ShanechiLab / torchDFINE
  ☆29Updated last year
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• neurallatents / nlb_workshop
  ☆19Updated 3 years ago
• murthylab / GLMHMM
  ☆22Updated 5 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆53Updated 3 months ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆92Updated this week
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆29Updated 7 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