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.
Track and segment the dynamics of brain connectivity networks
Functional connectivity and brain network analysis for motor imagery data in stroke patients
Benchmarks for functional connectivity estimators and FCEst Python package
For local SC-FC subgraph extraction and counterfactual explanation.
Seed-based resting-state functional connectivity with Nilearn.
Sensing the functional connectivity of the brain
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.
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.
For local SC-FC subgraph extraction and counterfactual explanation.
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