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

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Item Type: Tesi di dottorato
Lingua: English
Title: A hierarchical visuo-motor organization for computational models of the mirror system
Creators:
CreatorsEmail
Montone, Guglielmoguglielmo.montone@hotmail.it
Date: 31 March 2014
Number of Pages: 121
Institution: Università degli Studi di Napoli Federico II
Department: 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
Date: 31 March 2014
Number of Pages: 121
Uncontrolled Keywords: 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
Date Deposited: 10 Apr 2014 10:15
Last Modified: 28 Jan 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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