A dynamic connectome mapping module in python.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
A large-scale spiking model of the vision-related areas of macaque cortex.
Small Animal Magnetic Resonance Imaging via Python.
The neural basis of intelligence in fine-grained cortical topographies
Python library to compute functional connectivity measures from EEG
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters
Methods for estimating time-varying functional connectivity (TVFC)
A machine learning model to diagnose ADHD, using resting-state fMRI data.
Benchmarks for functional connectivity estimators and FCEst Python package
Track and segment the dynamics of brain connectivity networks
Seed-based resting-state functional connectivity with Nilearn.
For local SC-FC subgraph extraction and counterfactual explanation.
Simulations of different functional connectivity measures.
This Repository is a part of my thesis for analyzing connectivity of EEG channels, but codes are extendable to other fields and studies.
Sensing the functional connectivity of the brain
This repository is a set of tools that I use in my thesis, the main focus is processing EEG data, but some functions is expandable to other time series and signal processing fields.
Code for the PNAS paper: Causal connectivity measures for pulse-output network reconstruction: Analysis and applications
Functional connectivity and brain network analysis for motor imagery data in stroke patients
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