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.

Modular, YAML-configured Python pipeline for multi-scale fMRI functional brain network analysis. Validated on OpenNeuro ds007318 with Schaefer-200 parcellation.

Python library to compute functional connectivity measures from EEG

The neural basis of intelligence in fine-grained cortical topographies

Functional connectivity and brain network analysis for motor imagery data in stroke patients

Methods for estimating time-varying functional connectivity (TVFC)

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters

Track and segment the dynamics of brain connectivity networks

A machine learning model to diagnose ADHD, using resting-state fMRI data.

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.

Benchmarks for functional connectivity estimators and FCEst Python package

For local SC-FC subgraph extraction and counterfactual explanation.

Sensing the functional connectivity of the brain

Seed-based resting-state functional connectivity with Nilearn.

Bachelor thesis project analyzing fMRI connectivity and BOLD variability for CRCI biomarker discovery.

Graph-based classification of Autism Spectrum Disorder from resting-state fMRI functional connectivity data (ABIDE dataset, n=303)