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

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.

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

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

Predicting motor movements for use in prosthetic arms.

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