Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloHow the Cerebellum and Prefrontal Cortex Cooperate During Trace Eyeblinking Conditioning
Anno di pubblicazione2020
Formato
  • Elettronico
  • Cartaceo
Autore/iCaligiore, Daniele; Mirino, Pierandrea
Affiliazioni autoriCNR; Sapienza Univ Rome
Autori CNR e affiliazioni
  • DANIELE CALIGIORE
Lingua/e
  • inglese
AbstractSeveral data have demonstrated that during the widely used experimental paradigm for studying associative learning, trace eye blinking conditioning (TEBC), there is a strong interaction between cerebellum and medial prefrontal cortex (mPFC). Despite this evidence, the neural mechanisms underlying this interaction are still not clear. Here, we propose a neurophysiologically plausible computational model to address this issue. The model is constrained on the basis of two critical anatomo-physiological features: (i) the cerebello-cortical organization through two circuits, respectively, targeting M1 and mPFC; (ii) the different timing in the plasticity mechanisms of these parallel circuits produced by the granule cells time sensitivity according to which different subpopulations are active at different moments during conditioned stimuli. The computer simulations run with the model suggest that these features are critical to understand how the cooperation between cerebellum and mPFC supports motor areas during TEBC. In particular, a greater trace interval produces greater plasticity changes at the slow path synapses involving mPFC with respect to plasticity changes at the fast path involving M1. As a consequence, the greater is the trace interval, the stronger is the mPFC involvement. The model has been validated by reproducing data collected through recent real mice experiments.
Lingua abstractinglese
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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 rivista30
Fascicolo della rivista8
DOI10.1142/S0129065720500410
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000557917300005)
Parole chiaveGranular time-sensitivity, spiking neural networks, system-level neuroscience, eye blinking conditioning, prefrontal cortex
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Strutture CNR
  • ISTC — Istituto di scienze e tecnologie della cognizione
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
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