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…
  ☆66Updated 2 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆63Updated last year
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆235Updated 4 years ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆141Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 7 months ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆72Updated last month
• qihongl / learn-hippo
  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
  ☆44Updated 3 years ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆39Updated last year
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆117Updated 9 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• gyyang / multitask
  Code for Task representations in neural networks trained to perform many cognitive tasks
  ☆169Updated 6 years ago
• ShanechiLab / torchDFINE
  ☆31Updated 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
• joel99 / context_general_bci
  Towards large neural data models.
  ☆31Updated 3 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
• lauradriscoll / flexible_multitask
  code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
  ☆10Updated 7 months ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• kstach01 / CogModelingRNNsTutorial
  ☆55Updated last year
• snel-repo / ComputationThroughDynamicsToolkit
  ☆26Updated last week
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 2 months ago
• ShanechiLab / DPAD
  ☆55Updated 3 months ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆35Updated 2 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 6 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 5 months ago
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆42Updated 4 years ago
• gallantlab / voxelwise_tutorials
  Voxelwise Encoding Model tutorials from the Gallant lab.
  ☆87Updated last week
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆19Updated 9 months ago
• ckaraneen / neuroaid
  Papers and other material for getting started with Neuro-AI!
  ☆55Updated 2 years ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 6 months ago