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Titolo:
Animat navigation using a cognitive graph
Autore:
Trullier, O; Meyer, JA;
Indirizzi:
Matl Appl SA, F-75005 Paris, France Matl Appl SA Paris France F-75005Matl Appl SA, F-75005 Paris, France AnimatLab, F-75015 Paris, France AnimatLab Paris France F-75015AnimatLab, F-75015 Paris, France
Titolo Testata:
BIOLOGICAL CYBERNETICS
fascicolo: 3, volume: 83, anno: 2000,
pagine: 271 - 285
SICI:
0340-1200(200009)83:3<271:ANUACG>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURAL-NETWORK MODEL; PHASE PRECESSION; THETA-RHYTHM; PLACE CELLS; MEMORY; HIPPOCAMPUS; DIRECTION; SEQUENCES; MAP;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Trullier, O Matl Appl SA, 24 Blvd Hop, F-75005 Paris, France Matl Appl SA 24 Blvd Hop Paris France F-75005 5 Paris, France
Citazione:
O. Trullier e J.A. Meyer, "Animat navigation using a cognitive graph", BIOL CYBERN, 83(3), 2000, pp. 271-285

Abstract

This article describes a computational model of the hippocampus that makesit possible for a simulated rat to navigate in a continuous environment containing obstacles. This model views the hippocampus as a "cognitive graph", that is, a hetero-associative network that learns temporal sequences of visited places and stores a topological representation of the environment. Calling upon place cells, head direction cells, and "goal cells", it suggests a biologically plausible way of exploiting such a spatial representation for navigation that does not require complicated graph-search algorithms. Moreover, it permits "latent learning" during exploration, that is, the building of a spatial representation without the need of any reinforcement. When the rat occasionally discovers some rewarding place it may wish to rejoinsubsequently, it simply records within its cognitive graph, through a series of goal and sub-goal cells, the direction in which to move from any given start place. Accordingly, the model implements a simple "place-recognition-triggered response" navigation strategy. Two implementations of place cell management are studied in parallel. The first one associates place cells with place fields that are given a priori and that are uniformly distributed in the environment. The second one dynamically recruits place cells as exploration proceeds and adjusts the density of such cells to the local complexity of the environment. Both implementations lead to identical results. The article ends with a few predictions about results to be expected in experiments involving simultaneous recordings of multiple cells in the rat hippocampus.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/03/20 alle ore 10:21:05