Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloA Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control
Anno di pubblicazione2015
FormatoElettronico
Autore/iDonnarumma, Francesco; Prevete, Roberto; Chersi, Fabian; Pezzulo, Giovanni
Affiliazioni autoriNatl Res Council Italy; [object Object]; [object Object]
Autori CNR e affiliazioni
  • FRANCESCO DONNARUMMA
  • GIOVANNI PEZZULO
Lingua/e
  • inglese
AbstractThere is wide consensus that the prefrontal cortex (PFC) is able to exert cognitive control on behavior by biasing processing toward task-relevant information and by modulating response selection. This idea is typically framed in terms of top-down influences within a cortical control hierarchy, where prefrontalbasal ganglia loops gate multiple input-output channels, which in turn can activate or sequence motor primitives expressed in (pre-) motor cortices. Here we advance a new hypothesis, based on the notion of programmability and an interpreter-programmer computational scheme, on how the PFC can flexibly bias the selection of sensorimotor patterns depending on internal goal and task contexts. In this approach, multiple elementary behaviors representing motor primitives are expressed by a single multi-purpose neural network, which is seen as a reusable area of "recycled"neurons (interpreter). The PFC thus acts as a "programmer" that, without modifying the network connectivity, feeds the interpreter networks with specific input parameters encoding the programs (corresponding to network structures) to be interpreted by the (pre-) motor areas. Our architecture is validated in a standard test for executive function: the 1-2-AX task. Our results show that this computational framework provides a robust, scalable and flexible scheme that can be iterated at different hierarchical layers, supporting the realization of multiple goals. We discuss the plausibility of the "programmer-interpreter" scheme to explain the functioning of prefrontal-(pre) motor cortical hierarchies.
Lingua abstractinglese
Altro abstract-
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Pagine da-
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Pagine totali16
RivistaInternational journal of neural systems
Attiva dal 1989
Editore: World Scientific. - Singapore
Paese di pubblicazione: Singapore
Lingua: inglese
ISSN: 0129-0657
Titolo chiave: International journal of neural systems
Titolo abbreviato: Int. j. neural syst.
Numero volume della rivista25
Fascicolo della rivista6
DOI10.1142/S0129065715500173
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000357806700001)
Parole chiaveProgrammable neural networks, pre-frontal cortex, cognitive control, computational model
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Strutture CNR
  • ISTC — Istituto di scienze e tecnologie della cognizione
Moduli/Attività/Sottoprogetti CNR
  • SV.P16.008.001 : Computational Embodied Neuroscience
Progetti Europei
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