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Istituto di linguistica computazionale "Antonio Zampolli"

Torna all'elenco Contributi in rivista anno 2014

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Topological Self-Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain

Anno di pubblicazione: 2014

Formato: Elettronico Cartaceo

Autori: Chersi, Fabian; Ferro, Marcello; Pezzulo, Giovanni; Pirrelli, Vito

Affiliazioni autori: ISTC-CNR, Roma; ILC-CNR, Pisa; ISTC-CNR, Roma; ILC-CNR, Pisa

Autori CNR:


Lingua: inglese

Abstract: A 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 abstract: inglese

Pagine da: 476

Pagine a: 491

Pagine totali: 16


Topics in cognitive science Cognitive Science Society, Inc.,
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1756-8757

Numero volume: 6

Numero fascicolo: 3

DOI: 10.1111/tops.12094

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Indicizzato da:

  • ISI Web of Science (WOS) [000340180000010]
  • Scopus [2-s2.0-84904998720]
  • Google Scholar [QEcrdUYAAAAJ:R3hNpaxXUhUC]
  • PubMed [24935737]
  • PUMA [/cnr.ilc/2014-A0-002]

Parole chiave:

  • Motor chains
  • Lexical chains
  • Serial working memory
  • Computational modeling
  • Self-organizing maps
  • Somatotopic organization
  • Prediction

URL: http://onlinelibrary.wiley.com/doi/10.1111/tops.12094/abstract?deniedAccessCustomisedMessage=&userIsAuthenticated=false

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