Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloTopological Self-Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain
Anno di pubblicazione2014
  • Elettronico
  • Cartaceo
Autore/iChersi, Fabian; Ferro, Marcello; Pezzulo, Giovanni; Pirrelli, Vito
Affiliazioni autoriISTC-CNR, Roma; ILC-CNR, Pisa; ISTC-CNR, Roma; ILC-CNR, Pisa
Autori CNR e affiliazioni
  • inglese
AbstractA growing body of evidence in cognitive psychology and neuroscience suggests a deep interconnection between sensory-motor and language systems in the brain. Based on recent neurophysiological findings on the anatomo-functional organization of the fronto-parietal network, we present a computational model showing that language processing may have reused or co-developed organizing principles, functionality, and learning mechanisms typical of premotor circuit. The proposed model combines principles of Hebbian topological self-organization and prediction learning. Trained on sequences of either motor or linguistic units, the network develops independent neuronal chains, formed by dedicated nodes encoding only context-specific stimuli. Moreover, neurons responding to the same stimulus or class of stimuli tend to cluster together to form topologically connected areas similar to those observed in the brain cortex. Simulations support a unitary explanatory framework reconciling neurophysiological motor data with established behavioral evidence on lexical acquisition, access, and recall.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da476
Pagine a491
Pagine totali16
RivistaTopics in cognitive science (Print)
Attiva dal 2009
Editore: Cognitive Science Society, Inc., - Hoboken, NJ
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1756-8757
Titolo chiave: Topics in cognitive science (Print)
Titolo proprio: Topics in cognitive science. (Print)
Titolo abbreviato: Top. cogn. sci. (Print)
Titoli alternativi:
  • Top Cogn Sci (Print)
  • Journal of the Cognitive Science Society (Print)
  • TopiCS (Print)
Numero volume della rivista6
Fascicolo della rivista3
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000340180000010)
  • Scopus (Codice:2-s2.0-84904998720)
  • Google Scholar (Codice:QEcrdUYAAAAJ:R3hNpaxXUhUC)
  • PubMed (Codice:24935737)
  • PUMA (Codice:/cnr.ilc/2014-A0-002)
Parole chiaveMotor chains, Lexical chains, Serial working memory, Computational modeling, Self-organizing maps, Somatotopic organization, Prediction
Link (URL, URI)
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ILC — Istituto di linguistica computazionale "Antonio Zampolli"
  • ISTC — Istituto di scienze e tecnologie della cognizione
Moduli CNR
    Progetti Europei-
    • Topological self-organisation and prediction learning support both action and lexical chains in the brain