Easy and comprehensive assessment of predictive power, with support for neuroimaging features
-
Updated
Mar 21, 2024 - Python
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
A dynamic connectome mapping module in python.
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
Seed-based resting-state functional connectivity with Nilearn.
Track and segment the dynamics of brain connectivity networks
Source code of "Machine learning evaluates changes in functional connectivity under a prolonged cognitive load"
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
Code for the PNAS paper: Causal connectivity measures for pulse-output network reconstruction: Analysis and applications
Add a description, image, and links to the functional-connectivity topic page so that developers can more easily learn about it.
To associate your repository with the functional-connectivity topic, visit your repo's landing page and select "manage topics."