- About IIIA
- Current news
The research activity of this group encompasses developing machine learning techniques, from case-based learning and reasoning to probabilistic learning, and their application to robotics, privacy-preserving data mining, music and multiagent systems.
A large percentage of chronic stroke patients (CS) show motor deficits and language impairments. These deficits clearly diminish their health-related quality of life, limiting their socio-familiar and working roles. In this context, music has arisen as a potential neurorehabilitation tool. The aim of the project is to propose and evaluate new home-based self-training interventions for (i) the use of music training to induce motor recovery (Music supported therapy, MST) and (ii) singing-based interventions for language recovery in aphasic patients.
Partners: Institut d'Investigació Biomèdica Hospital de Bellvitge - IDIBELL, Institut Investigació Intel·ligència Artificial - IIIA CSIC, Cognitive Brain Research Unit - University of Helsinki
Duration of the project: 36 months
This book, authored by Ramon Lopez de Mantaras and Pedro Meseguer, is number 87 in the series of general audience science books "¿Qué sabemos de?", published by "Los Libros de la Catarata" and the CSIC