Montone, Guglielmo (2014) A hierarchical visuo-motor organization for computational models of the mirror system. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: A hierarchical visuo-motor organization for computational models of the mirror system
Autori:
AutoreEmail
Montone, Guglielmoguglielmo.montone@hotmail.it
Data: 31 Marzo 2014
Numero di pagine: 121
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Scienze matematiche ed informatiche
Dottorato: Scienze computazionali e informatiche
Ciclo di dottorato: 26
Coordinatore del Corso di dottorato:
nomeemail
Moscariello, Giocondagioconda.moscariello@unina.it
Data: 31 Marzo 2014
Numero di pagine: 121
Parole chiave: mirror neurons; synergy action representation; dictionary learning; hierarchical representation
Settori scientifico-disciplinari del MIUR: Area 01 - Scienze matematiche e informatiche > INF/01 - Informatica
Aree tematiche (7° programma Quadro): TECNOLOGIE DELL'INFORMAZIONE E DELLA COMUNICAZIONE > Macchine "più intelligenti", servizi migliori
Depositato il: 10 Apr 2014 10:15
Ultima modifica: 28 Gen 2015 09:31
URI: http://www.fedoa.unina.it/id/eprint/9922

Abstract

Typical patterns in the space of motor configurations, frequently referred as motor synergies, enable one to provide a simplified action representation. The computational model of the mirror system introduced in this thesis hypothesizes that a synergy representation of actions could be actually developed in motor cortex and strongly involved in the process of elaboration of observed actions. In particular the action representation and the mirror system model were developed in order to reproduce two important biological findings about motor cortex, namely: 1) the action is represented according to different levels of detail; 2) the visual representation of an observed action is represented according to different levels of detail. In particular in this thesis, focusing on hand grasping actions, we investigate a synergy repersentation of actions where the synergies would be forced to be hierarchically organized. We show that this representation results to be accurate and, biologically plausible, being able to describe action at multiple level of detail. Successively we present an architecture where the previous hierarchical synergy representation is used in the process of elaboration of an observed action. We show how using this motor information can actually improve the process of action recognition and repreoduce one of the principal characteriscms of the mirror neurons, namely thier distinction in stricktly and broadly neurons.

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