Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloGeneralization, decision making, and embodiment effects in mental rotation: a neurorobotic architecture tested with a humanoid robot
Anno di pubblicazione2015
  • Elettronico
  • Cartaceo
Autore/iSeepanomwan Kristsana, Caligiore Daniele, Cangelosi Angelo, Baldassarre Gianluca
Affiliazioni autoriUniversity of Plymouth, Centre for Robotics and Neural Systems, United Kingdom and Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie della Cognizione, Italy
Autori CNR e affiliazioni
  • inglese
AbstractMental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if it matches a target object. In recent years, mental rotation has been investigated with brain imaging techniques to identify the brain areas involved. Mental rotation has also been investigated through the development of neural-network models, used to identify the specific mechanisms that underlie its process, and with neurorobotics models to investigate its embodied nature. Current models, however, have limited capacities to relate to neuro-scientific evidence, to generalise mental rotation to new objects, to suitably represent decision making mechanisms, and to allow the study of the effects of overt gestures on mental rotation. The work presented in this study overcomes these limitations by proposing a novel neurorobotic model that has a macro-architecture constrained by knowledge held on brain, encompasses a rather general mental rotation mechanism, and incorporates a biologically plausible decision making mechanism. The model was tested using the humanoid robot iCub in tasks requiring the robot to mentally rotate 2D geometrical images appearing on a computer screen. The results show that the robot gained an enhanced capacity to generalise mental rotation to new objects and to express the possible effects of overt movements of the wrist on mental rotation. The model also represents a further step in the identification of the embodied neural mechanisms that may underlie mental rotation in humans and might also give hints to enhance robots' planning capabilities.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da31
Pagine a47
Pagine totali-
RivistaNeural networks
Attiva dal 1988
Editore: Pergamon, - New York
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0893-6080
Titolo chiave: Neural networks
Titolo proprio: Neural networks
Titolo abbreviato: Neural netw.
Numero volume della rivista72
Fascicolo della rivista-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000366701700004)
Parole chiaveNeural networks; Neurorobotic model of mental rotation; Brain cortex areas; Embodiment and robots; Mental imagery; Forward models, planning and decision making
Link (URL, URI)
Titolo parallelo-
LicenzaCC BY-NC-ND 4.0
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISTC — Istituto di scienze e tecnologie della cognizione
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-