Alternatives and similar repositories for CNS-2023:

Users that are interested in CNS-2023 are comparing it to the libraries listed below

• ShanechiLab / torchDFINE
  ☆30Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 6 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆31Updated this week
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆21Updated 2 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆53Updated 4 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆58Updated 4 months ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆35Updated last year
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆49Updated last year
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆98Updated 3 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
• 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…
  ☆65Updated 2 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆51Updated last month
• pillowlab / GLMspiketraintutorial_python
  ☆51Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆19Updated 2 weeks ago
• DurstewitzLab / dendPLRNN
  ☆20Updated last year
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 2 months ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆49Updated 7 months ago
• neurallatents / neurallatents.github.io
  ☆16Updated 2 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated 9 months ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆47Updated last year
• ShanechiLab / PSID
  Preferential Subspace Identification Algorithm
  ☆50Updated last year
• lauradriscoll / flexible_multitask
  code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
  ☆10Updated 2 months ago
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆29Updated 8 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated 2 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 3 weeks ago
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆29Updated 2 years ago
• neurallatents / nlb_workshop
  ☆20Updated 3 years 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
  ☆38Updated 3 years ago
• colehurwitz / IBL_MtM_model
  IBL foundation model
  ☆22Updated 5 months ago
• ayalab1 / neurocode
  Code for neural and behavioral data analysis from the Brain Computation and Behavior Lab, aka AyA Lab, at Cornell University.
  ☆17Updated this week