Alternatives and similar repositories for sca

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

• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆60Updated 11 months ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 10 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆32Updated 5 months ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆56Updated 2 years ago
• nicholas-roy / psytrack
  ☆57Updated 11 months ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆52Updated 4 months ago
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆20Updated 8 months ago
• snel-repo / ComputationThroughDynamicsToolkit
  ☆29Updated 3 months ago
• spiketools / spiketools
  Tools for analyzing spiking data from single-neuron recodings.
  ☆29Updated last month
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆46Updated 6 years ago
• pillowlab / GLMspiketraintutorial_python
  ☆60Updated 3 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆55Updated 5 years 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…
  ☆100Updated 6 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆52Updated 2 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆55Updated this week
• lposani / decodanda
  Decoding and geometrical analysis of neural activity with built-in best practices
  ☆46Updated 2 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆25Updated last week
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆73Updated 5 years ago
• adredish / MClust-Spike-Sorting-Toolbox
  MClust is a Matlab-based spike sorting toolbox for the separation of putative cells from multi-site neurophysiological recordings. It is…
  ☆17Updated 3 years ago
• EnnyvanBeest / UnitMatch
  Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days
  ☆73Updated 2 weeks ago
• NeuroNetMem / PowerPixelsPipeline
  ☆26Updated this week
• caycogajiclab / sliceTCA_paper
  code accompanying Pellegrino*, Stein*, & Cayco-Gajic (2023).
  ☆14Updated last year
• SpikeInterface / spikemetrics
  Metrics for spike sorting validation/quality control
  ☆15Updated 4 years ago
• zivlab / island
  Revealing neural correlates of behavior without behavioral measurements
  ☆16Updated 6 years ago
• ShanechiLab / DPAD
  ☆56Updated 7 months ago
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆43Updated 6 years ago
• michael-zugaro / FMAToolbox
  The Freely Moving Animal (FMA) Toolbox is a Matlab toolbox. Its purpose is to help analyze electrophysiological and behavioral data recor…
  ☆15Updated 4 years ago
• anoushkajain / UnitRefine
  UnitRefine is a machine-learning toolbox that simplifies spike sorting curation by reducing manual curation.
  ☆67Updated last month
• SpikeInterface / spiketutorials
  Tutorials for using SpikeInterface on extracellular datasets.
  ☆68Updated 2 years ago
• SpikeInterface / MEArec
  Fast and customizable of extracellular recordings on MEA
  ☆48Updated 7 months ago