Alternatives and similar repositories for TRENTOOL3

Users that are interested in TRENTOOL3 are comparing it to the libraries listed below

• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆99Updated 5 years ago
• montaltoalessandro / MuTE
  ☆11Updated 8 years ago
• macshine / coupling
  Matlab and Python scripts for calculating functional coupling between time series data
  ☆19Updated 6 years ago
• svendaehne / matlab_SPoC
  Matlab code for SSD, SPoC, mSPoC, and cSPoC
  ☆26Updated 9 years ago
• lcnbeapp / beapp
  The Batch Electroencephalography Automated Processing Platform (BEAPP)
  ☆39Updated 2 months ago
• pmediano / EntRate
  Entropy rate estimators for neuroscience
  ☆27Updated 4 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated last year
• joanrue / pydynet
  Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics
  ☆13Updated 4 years ago
• Arsha89 / AGC_Analysis
  Extracting neuronal functional network dynamics via adaptive Granger causality analysis
  ☆18Updated 7 years ago
• nitinwilliams / eeg_meg_analysis
  MATLAB and Python code for analyses and modelling human ephys data
  ☆13Updated 2 years ago
• wonsang / nonfractal
  MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity
  ☆12Updated 7 years ago
• lcnhappe / happe
  Harvard Automated Pre-Processing Pipeline for EEG
  ☆63Updated last year
• mikexcohen / GED_tutorial
  Code accompanying publication on GED tutorial
  ☆33Updated 3 years ago
• Eden-Kramer-Lab / spectral_connectivity
  Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data
  ☆134Updated last month
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• neurofractal / PACmeg
  MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
  ☆39Updated 5 years ago
• treder / MVPA-Light
  Matlab toolbox for classification and regression of multi-dimensional data
  ☆80Updated last year
• tmdemelo / pydcm
  Dynamic Causal Modeling with Python
  ☆44Updated 6 years ago
• unfoldtoolbox / unfold
  A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
  ☆63Updated 6 months ago
• benfulcher / hctsaTutorial_BonnEEG
  hctsa tutorial using the five-class Bonn EEG dataset
  ☆32Updated 2 years ago
• scot-dev / scot
  EEG/MEG Source Connectivity Toolbox in Python
  ☆66Updated last year
• olivercliff / assessing-linear-dependence
  A package to compute and test the significance of linear dependence between multiple autocorrelated time series.
  ☆17Updated 3 years ago
• LegrandNico / hmm-mne
  Hidden Markov Modelling of M/EEG data.
  ☆18Updated 4 years ago
• hipercog / ctap
  Computational Testing for Automated Preprocessing - a Matlab toolbox extending EEGLAB functionality for batch processing of EEG
  ☆22Updated last week
• tapios / arfit
  ARfit: Multivariate Autoregressive Model Fitting
  ☆28Updated 8 years ago
• mne-tools / mne-features
  MNE-Features software for extracting features from multivariate time series
  ☆154Updated last week
• GWeindel / hmp
  Repository for the hmp python package
  ☆48Updated last week
• breakspear / bdtoolkit
  The Brain Dynamics Toolbox
  ☆36Updated 5 years ago
• sccn / PACTools
  EEGLAB plug-in to compute Phase-Amplitude Coupling using different methods
  ☆42Updated last year
• AaltoImagingLanguage / conpy
  Python package for power mapping and functional connectivity using DICS
  ☆38Updated last week