Human Brain Dynamics: Latest Advances And Prospects — 2nd Edition

This Research Topic aims to unite researchers from machine learning and computational neuroscience and to stimulate collaboration between experts in these fields. The collection of articles covers recent directions and activities in the field of machine learning, especially the recent paradigm of deep learning, in neuroscience dedicated to analysis, diagnosis, and modeling of the neural mechanisms of brain functions. Different methodological techniques, from electrophysiological assessment to neuroimaging and electrophysiological recording, are used to provide an overview of evidence illustrating the potentiality of the integration of machine learning with multimodal neuroimaging modalities as a common framework to design reliable biomarkers for the diagnosis of patients with neurological and psychiatric brain disorders.