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Titolo:
The autapse: A simple illustration of short-term analog memory storage by tuned synaptic feedback
Autore:
Seung, HS; Lee, DD; Reis, BY; Tank, DW;
Indirizzi:
MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA MIT Cambridge MA USA 02139 pt Brain & Cognit Sci, Cambridge, MA 02139 USA Bell Labs, Lucent Technol, Murray Hill, NJ 07974 USA Bell Labs Murray Hill NJ USA 07974 ent Technol, Murray Hill, NJ 07974 USA
Titolo Testata:
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
fascicolo: 2, volume: 9, anno: 2000,
pagine: 171 - 185
SICI:
0929-5313(200009/10)9:2<171:TAASIO>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURAL-NETWORK MODEL; WORKING-MEMORY; HIPPOCAMPAL-NEURONS; PREFRONTAL CORTEX; PYRAMIDAL NEURONS; SYNFIRE CHAINS; INTEGRATOR; DYNAMICS; REVERBERATIONS; MICROCULTURES;
Keywords:
short-term memory; persistent neural activity; synaptic feedback; reverberating circuit;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Seung, HS MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA MIT E25-618 Cambridge MA USA 02139 -618, Cambridge, MA 02139 USA
Citazione:
H.S. Seung et al., "The autapse: A simple illustration of short-term analog memory storage by tuned synaptic feedback", J COMPUT N, 9(2), 2000, pp. 171-185

Abstract

According to a popular hypothesis, short-term memories are stored as persistent neural activity maintained by synaptic feedback loops. This hypothesis has been formulated mathematically in a number of recurrent network models. Here we study an abstraction of these models, a single neuron with a synapse onto itself, or autapse. This abstraction cannot simulate the way in which persistent activity patterns are distributed over neural populations in the brain. However, with proper tuning of parameters, it does reproduce the continuously graded, or analog, nature of many examples of persistent activity. The conditions for tuning are derived for the dynamics of a conductance-based model neuron with a slow excitatory autapse. The derivation usesthe method of averaging to approximate the spiking model with a nonspiking, reduced model. Short-term analog memory storage is possible if the reduced model is approximately linear and if its feedforward bias and autapse strength are precisely tuned.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/01/20 alle ore 01:28:14