Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloSelection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actions
Anno di pubblicazione2015
FormatoElettronico
Autore/iSimione L.; Nolfi S.
Affiliazioni autoriInstitute of Cognitive Sciences and Technologies, CNR, Viale S. Martino della Battaglia 44, Rome, Italy
Autori CNR e affiliazioni
  • LUCA SIMIONE
  • STEFANO NOLFI
Lingua/e
  • inglese
AbstractThe objects present in our environment evoke multiple conflicting actions at every moment. Thus, a mechanism that resolves this conflict is needed in order to avoid the production of chaotic ineffective behaviours. A plausible candidate for such role is the selective attention, capable of inhibiting the neural representations of the objects irrelevant in the ongoing context and as a consequence the actions they afford. In this paper, we investigated whether a selective attention mechanism emerges spontaneously during the learning of context-dependent behaviour, whereas most neurocomputational models of selective attention and action selection imply the presence of architectural constraints. To this aim, we trained a deep neural network to learn context-dependent visual-action associations. Our main result was the spontaneous emergence of an inhibitory mechanism aimed to solve conflicts between multiple afforded actions by directly suppressing the irrelevant visual stimuli eliciting the incorrect actions for the current context. This suggests that such an inhibitory mechanism emerged as a result of the incorporation of context-independent probabilistic regularities occurring between stimuli and afforded actions.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da393
Pagine a397
Pagine totali-
RivistaCognitive processing (Print)
Attiva dal 2000
Editore: Springer - Berlin
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1612-4782
Titolo chiave: Cognitive processing (Print)
Titolo proprio: Cognitive processing. (Print)
Titolo abbreviato: Cogn. process. (Print)
Numero volume della rivista16
Fascicolo della rivista-
DOI10.1007/s10339-015-0679-8
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84940722651)
Parole chiaveselective attention, learning, deep belief, neural network
Link (URL, URI)http://www.scopus.com/inward/record.url?eid=2-s2.0-84940722651&partnerID=q2rCbXpz
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Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISTC — Istituto di scienze e tecnologie della cognizione
Moduli/Attività/Sottoprogetti CNR
  • ICT.P08.006.001 : Tecnologie avanzate per l'interazione uomo, robot ed agenti intelligenti
Progetti Europei-
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