49 citations · 106 across the 4 of their papers we have counts for
4 papers
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator
Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich +1
We propose a machine-learning approach to model long-term out-of-sample dynamics of brain activity from task-dependent fMRI data. Our approach is a three stage one. First, we explo…
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach
Evangelos Galaris, Gianluca Fabiani, Ioannis Gallos +2
We address a three-tier data-driven approach to solve the inverse problem in complex systems modelling from spatio-temporal data produced by microscopic simulators using machine le…
Construction of embedded fMRI resting state functional connectivity networks using manifold learning
Ioannis Gallos, Evangelos Galaris, Constantinos Siettos
We construct embedded functional connectivity networks (FCN) from benchmark resting-state functional magnetic resonance imaging (rsfMRI) data acquired from patients with schizophre…
EEG source localization analysis in epileptic children during a visual working-memory task
Evangelos Galaris, Ioannis Gallos, Ivan Myatchin +2
We localize the sources of brain activity of children with epilepsy based on EEG recordings acquired during a visual discrimination working memory task. For the numerical solution…