Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

Real-time brain states tracking system and corticothalamic neural field parameter estimation

Code for the analyses of our fMRI mind-reading study

A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space

This simple Qt-based GUI allows users to load components of brain activation, their respective time activity curves to extract the most relevant components and store information about peak activity

A project to predict the neural visual responses to naturalistic scenes using machine learning. It was my capstone project of the Machine learning course from the MSc in Systems Biology at Maastricht University.

Brain activity analysis of a Zebra fish. Reconstruction of neural activity using kinetic Ising model.

This study investigates the identification of brain areas associated with the execution of a mental task using Blood Oxygen Level Dependent (BOLD) functional magnetic resonance imaging (fMRI)

Predicting motor movements for use in prosthetic arms.

My attempt at illuminated AI without looking at the available domain knowledge of artificial intelligence

Exploring the use of brain activity to predict crowd behavior and decision-making.