Alternatives and similar repositories for state-space-composition

Users that are interested in state-space-composition are comparing it to the libraries listed below

• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆68Updated last week
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆65Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 8 months ago
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆235Updated 4 years ago
• snel-repo / neural-data-transformers
  ☆82Updated 3 years ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆119Updated 9 months ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆72Updated 2 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆55Updated 4 years ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆141Updated last year
• snel-repo / ComputationThroughDynamicsToolkit
  ☆26Updated 3 weeks ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆31Updated 4 months ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆40Updated last year
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆20Updated 9 months ago
• gyyang / multitask
  Code for Task representations in neural networks trained to perform many cognitive tasks
  ☆169Updated 6 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆52Updated 2 years 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
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆35Updated 2 years ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• lauradriscoll / flexible_multitask
  code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
  ☆11Updated 8 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆14Updated 2 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 7 months 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…
  ☆90Updated 3 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆60Updated 3 years ago
• netneurolab / conn2res
  A reservoir computing toolbox for neuroscientists
  ☆112Updated 10 months ago
• kstach01 / CogModelingRNNsTutorial
  ☆55Updated last year
• 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
• neurogym / neurogym
  A curated collection of neuroscience tasks with a common interface.
  ☆301Updated last week
• neurallatents / nlb_workshop
  ☆20Updated 3 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 5 months ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 7 months ago