Alternatives and similar repositories for dSCA

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

• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆16Updated 3 weeks ago
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago
• brainets / netchos
  Network plotting python package
  ☆12Updated 3 years ago
• int-brain-lab / mtscomp
  Multichannel time series lossless compression in pure Python based on NumPy and zlib
  ☆39Updated 2 months ago
• BenjoCowley / DataHigh
  DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
  ☆17Updated 6 years ago
• brain-modelling-group / neural-flows
  Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
  ☆28Updated 3 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated last month
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆25Updated last year
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆66Updated last year
• spiketools / spiketools
  Tools for analyzing spiking data from single-neuron recodings.
  ☆27Updated this week
• rdgao / field-echos
  Project code for extracting neural population timescale from field potential data (LFP, ECoG, etc)
  ☆17Updated 3 years ago
• SpikeInterface / spikemetrics
  Metrics for spike sorting validation/quality control
  ☆13Updated 3 years ago
• dimitri-yatsenko / awesome-neural-data-tools
  Tools, algorithms, and frameworks for managing and analyzing neural data.
  ☆20Updated 3 years ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆17Updated last year
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆18Updated 7 years ago
• TomGeorge1234 / SIMPL
  Fast optimisation of tuning curves by iterative refitting and decoding
  ☆13Updated 2 months ago
• PeyracheLab / StarterPack
  Tutorial
  ☆10Updated 4 years ago
• anoushkajain / UnitRefine
  UnitRefine is a machine-learning toolbox that simplifies spike sorting curation by reducing manual curation.
  ☆24Updated last month
• lrkrol / permutationTest
  A permutation test (aka randomization test) for MATLAB.
  ☆25Updated last year
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• PridaLab / cnn-ripple
  CNN-ripple is a 1D convolutional neural network (CNN) operating over high-density LFP recordings to detect hippocampal SWR both offline a…
  ☆17Updated 2 years ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆44Updated 2 weeks ago
• int-brain-lab / IBL-pipeline
  DataJoint pipeline for IBL project
  ☆20Updated 2 years ago
• anne-urai / largescale_recordings
  Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…
  ☆18Updated 3 years ago
• pillowlab / GLMspiketraintutorial_python
  ☆52Updated 2 years ago
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 7 years ago
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆44Updated last year
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆31Updated last month
• int-brain-lab / ibllib
  IBL core shared libraries
  ☆63Updated this week