Alternatives and similar repositories for local-linear-segmentation:

Users that are interested in local-linear-segmentation are comparing it to the libraries listed below

• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆46Updated 3 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆50Updated 2 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆46Updated 2 years ago
• murthylab / GLMHMM
  ☆21Updated 5 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆38Updated 3 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆26Updated 2 years ago
• 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
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆14Updated this week
• nelpy / nelpy
  Neuroelectrophysiology object model and data analysis in Python.
  ☆49Updated last month
• zivlab / island
  Revealing neural correlates of behavior without behavioral measurements
  ☆14Updated 5 years ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆42Updated last year
• ikinsella / locaNMF
  Pytorch implementation of LocaNMF
  ☆34Updated 4 years ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆28Updated 9 months ago
• zashwood / ssm
  Bayesian learning and inference for state space models
  ☆10Updated 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 last year
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• mesoscale-activity-map / map-ephys
  Mesoscale activity ephys ingest schema
  ☆11Updated last year
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆43Updated 5 years ago
• int-brain-lab / spikes_localization_registration
  Spike Sorting Utilities
  ☆9Updated 2 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆63Updated last year
• flatironinstitute / spikeforest2
  SpikeForest -- spike sorting analysis for website -- version 2
  ☆34Updated 2 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆12Updated 2 years ago
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆27Updated 5 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆45Updated last year
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆13Updated last year
• Eden-Kramer-Lab / ripple_detection
  Tools for identifying sharp wave ripple events using LFPs
  ☆35Updated 3 months ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 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 …
  ☆17Updated 7 years ago
• ShanechiLab / PSID
  Preferential Subspace Identification Algorithm
  ☆47Updated 11 months ago