Alternatives and similar repositories for hcga

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

• DynamicsAndNeuralSystems / pyspi
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆241Updated 2 weeks ago
• olivercliff / assessing-linear-dependence
  A package to compute and test the significance of linear dependence between multiple autocorrelated time series.
  ☆17Updated 3 years ago
• KrishnaswamyLab / TPHATE
  ☆28Updated 7 months ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆44Updated last year
• wiheto / teneto
  Temporal Network Tools
  ☆86Updated last year
• Laouen / THOI
  THOI: An efficient library for higher order interactions analysis based on Gaussian copulas enhanced by batch-processing
  ☆21Updated last month
• montaltoalessandro / MuTE
  ☆11Updated 7 years ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated 11 months ago
• mb-BCA / NetDynFlow
  A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.
  ☆11Updated last year
• braindynamicslab / dyneusr
  Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
  ☆49Updated last year
• ContextLab / supereeg
  Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression
  ☆35Updated 3 years ago
• brain-modelling-group / neural-flows
  Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
  ☆29Updated 4 years ago
• qbarthelemy / PyPermut
  Python package for permutation tests, for statistics and machine learning.
  ☆26Updated 5 months ago
• Immo-Weber / NoLiTiA
  A nonlinear time series analysis toolbox
  ☆12Updated 2 years ago
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆93Updated 5 years ago
• OscillationMethods / OscillationMethods
  Methodological considerations for analyzing and interpreting neural oscillations.
  ☆31Updated last year
• LegrandNico / hmm-mne
  Hidden Markov Modelling of M/EEG data.
  ☆18Updated 4 years ago
• brainets / frites
  Framework for Information Theoretical analysis of Electrophysiological data and Statistics
  ☆92Updated 5 months ago
• multinetlab-amsterdam / network_TDA_tutorial
  This repository is dedicated for the tutorial on network and topological neuroscience.
  ☆71Updated last year
• LindenParkesLab / nctpy
  A toolbox for implementing Network Control Theory analyses in python
  ☆64Updated last year
• canlab / Lindquist_Dynamic_Correlation
  Martin Lindquist's dynamic correlation toolboxes. Designed for fMRI analysis, useful for other applications too.
  ☆36Updated 5 years ago
• joanrue / pydynet
  Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics
  ☆13Updated 4 years ago
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• JohnGriffiths / mne-dcm
  Dynamic Causal Modelling for MNE and the nipy ecosystem
  ☆22Updated 7 years ago
• wonsang / nonfractal
  MATLAB Toolbox for estimating nonfractal connectivity and fractal connectivity
  ☆12Updated 6 years ago
• amnsbr / cubnm
  A toolbox for brain network modeling on GPUs
  ☆14Updated 2 weeks ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆61Updated 7 years ago
• murraylab / gemmr
  Generative Modeling of Multivariate Relationships
  ☆25Updated last year
• ContextLab / timecorr
  Estimate dynamic high-order correlations in multivariate timeseries data
  ☆40Updated 2 months ago
• murraylab / hbnm
  Hierarchical brain network model (Demirtas et al., 2019)
  ☆15Updated 6 years ago