Alternatives and similar repositories for nlb_tools:

Users that are interested in nlb_tools 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…
  ☆53Updated 3 months ago
• snel-repo / neural-data-transformers
  ☆75Updated 3 years ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated last month
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆15Updated 2 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• neurallatents / neurallatents.github.io
  ☆16Updated 2 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆19Updated last month
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• neurallatents / nlb_workshop
  ☆19Updated 3 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
• joel99 / context_general_bci
  Towards large neural data models.
  ☆28Updated 4 months ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆14Updated last year
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆60Updated last year
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 4 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated this week
• 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 last month
• 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
• ShanechiLab / torchDFINE
  ☆29Updated last year
• colehurwitz / IBL_MtM_model
  IBL foundation model
  ☆20Updated 3 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated 2 weeks ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago
• snel-repo / falcon-challenge
  ☆13Updated 3 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆94Updated 7 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆132Updated 7 months ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆25Updated this week
• ShanechiLab / DPAD
  ☆47Updated 4 months ago