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Titolo:
Solving the binding problem of the brain with bi-directional functional connectivity
Autore:
Watanabe, M; Nakanishi, K; Aihara, K;
Indirizzi:
Univ Tokyo, Grad Sch Engn, Dept Math Engn & Informat Phys, Bunkyo Ku, Tokyo 113, Japan Univ Tokyo Tokyo Japan 113 & Informat Phys, Bunkyo Ku, Tokyo 113, Japan JST, CREST, Kawaguchi City, Saitama, Japan JST Kawaguchi City Saitama Japan , CREST, Kawaguchi City, Saitama, Japan Univ Tokyo, Grad Sch Engn, Dept Quantum Engn & Syst Sci, Bunkyo Ku, Tokyo 113, Japan Univ Tokyo Tokyo Japan 113 Engn & Syst Sci, Bunkyo Ku, Tokyo 113, Japan
Titolo Testata:
NEURAL NETWORKS
fascicolo: 4-5, volume: 14, anno: 2001,
pagine: 395 - 406
SICI:
0893-6080(200105)14:4-5<395:STBPOT>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
CAT VISUAL-CORTEX; COINCIDENCE DETECTOR; INTEGRATION; SYNCHRONIZATION; HYPOTHESIS; RESPONSES; ATTENTION; DYNAMICS; NETWORK;
Keywords:
binding problem; functional connectivity; bidirectional connections; global dynamic cell assembly;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Watanabe, M Univ Tokyo, Grad Sch Engn, Dept Math Engn & Informat Phys, Bunkyo Ku, 7-3-1 Hongo, Tokyo 113, Japan Univ Tokyo 7-3-1 Hongo Tokyo Japan 113 ongo, Tokyo 113, Japan
Citazione:
M. Watanabe et al., "Solving the binding problem of the brain with bi-directional functional connectivity", NEURAL NETW, 14(4-5), 2001, pp. 395-406

Abstract

We propose a neural network model which gives one solution to the binding problem on the basis of 'functional connectivity' and bidirectional connections. Here,'functional connectivity' is dynamic neuronal connectivity peculiar to temporal spike coding neural networks with coincidence detector neurons. The model consists of a single primary map and two higher modules which extract two different features shown on the primary map. There exist three layers in each higher module and the layers are connected bi-directionally. An object in the outer world is represented by a 'global dynamical cell assembly' which is organized across the primary map and the two higher modules. Detailed, but spatially localized, information is coded in the primarymap, whereas coarse, but spatially extracted information or globally integrated information is coded in the higher modules. Computer simulations of the proposed model show that multiple cell assemblies sharing the same neurons partially can co-exist. Furthermore, we introduce a three-dimensional J-PSTH (Joint-Peri Stimulus Time Histogram) which is capable of tracking suchcell assemblies, altering its constituent neurons as in our proposed model. (C) 2001 Published by Elsevier Science Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/09/20 alle ore 10:35:15