Alternatives and similar repositories for context_general_bci:

Users that are interested in context_general_bci are comparing it to the libraries listed below

• snel-repo / falcon-challenge
  ☆13Updated 3 months ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆60Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 4 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated last month
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 8 months ago
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆15Updated 2 months ago
• colehurwitz / IBL_MtM_model
  IBL foundation model
  ☆20Updated 3 months ago
• snel-repo / neural-data-transformers
  ☆75Updated 3 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆14Updated last year
• ShanechiLab / torchDFINE
  ☆29Updated last year
• 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 / ComputationThroughDynamicsBenchmark
  ☆19Updated last month
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated 2 weeks ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆29Updated 2 years ago
• cffan / CORP
  Continual Online Recalibration with Pseudo-labels
  ☆10Updated 9 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago
• ShanechiLab / DPAD
  ☆47Updated 4 months ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆33Updated 11 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated this week
• neurallatents / neurallatents.github.io
  ☆16Updated 2 years ago
• beteje / LFP_Analysis
  MATLAB code for local field potential analysis
  ☆19Updated 2 years ago
• GuangyeLiGit / iEEGview
  Localization and Visualization of Intracranial Electrodes
  ☆22Updated 5 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• 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
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• glaserlab / sca
  Sparse component analysis
  ☆26Updated last month
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆34Updated 2 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆33Updated last year
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year