Alternatives and similar repositories for mDLAG:

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

• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆49Updated last month
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆29Updated 2 years ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆27Updated 2 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 5 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆19Updated this week
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• spiketools / spiketools
  Tools for analyzing spiking data from single-neuron recodings.
  ☆26Updated last month
• pillowlab / GLMspiketraintutorial_python
  ☆49Updated 2 years ago
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆35Updated 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
• 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…
  ☆62Updated last month
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆48Updated 6 months ago
• ayalab1 / neurocode
  Code for neural and behavioral data analysis from the Brain Computation and Behavior Lab, aka AyA Lab, at Cornell University.
  ☆17Updated this week
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆11Updated this week
• 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
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆44Updated last year
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆29Updated 2 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• int-brain-lab / spikes_localization_registration
  Spike Sorting Utilities
  ☆9Updated 2 years ago
• neurallatents / nlb_workshop
  ☆20Updated 3 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆45Updated 5 years ago
• awillats / dynamics-in-neuro-reading-list
  This reading list is centered around the practical application of linear dynamical systems models to predict neural data
  ☆38Updated 3 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆21Updated 2 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated last month
• SpikeInterface / spikemetrics
  Metrics for spike sorting validation/quality control
  ☆13Updated 3 years ago
• PeyracheLab / StarterPack
  Tutorial
  ☆10Updated 4 years ago
• PridaLab / rippl-AI
  A open toolbox of several machine learning approaches for sharp-wave ripple detection
  ☆28Updated 8 months ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆29Updated 4 months ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year