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analyzing_neural_time_series

python implementations of Analyzing Neural Time Series Textbook

antsd-solutions-python

Solutions in Python to Mike X Cohen's book Analyzing Neural Time Series Data

app-rshrf

Hemodynamic Response Function Retrieval and Deconvolution (RS-HRF)

brain-fingerprinting

Brain Fingerprinting and related topics.

brainhack_jupyter_book

A Jupyter Book of everything Brainhack: past, present and future.

brainstorm3

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

capstoolbox

connectivity-measures-clustering

Clustering of functional connectivity measures and time series extraction pipelines

controls_pid

danielemarinazzo.github.io

dissecting-data-features-in-brain-steady-state-responses

EEG analysis with FOOOF and downstream classifiers for BCI application

dynamic_o_information

code for dynamic O information

dynet_toolbox

Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics

edge-centric_demo

demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)

edge-ts

eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

event_detection

evolutionary_group_formation

python scripts to reproduce the simulations of the paper "Evolutionary Dynamics of Group Formation"

exact-linear-dependence

A package to compute and test the significance of linear dependence between multiple autocorrelated time series.

external_geodesic_library

External Library Geodesic

fbosc-gent

fdiid-toolbox

Matlab Tool for a frequency-specific quantification of higher-order measures for the study of complex systems. In particular, to assess the presence of redundacy or synergy in a network of interacting processes, the interaction information decomposition is provided in the frequency domain and related to the time domain through Block-Coherence estimator.

fooof-gent

gc_ss_pnas

reproduction of the simulations of a critical paper, with the State Space formulation of Granger Causality

goi

Gradients of O-information

gondola

gt_trous

Code for multiscale Granger causality with "à trous" wavelet

hoi

Retrieving high-order information multiplets from data using the O-information

hypernetx

Python package for hypergraph analysis and visualization.

hyperplot

Short library to plot high-order interactions