On Informational Characteristics of Willshaw-Like Auto-Associative Memory

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SYSNO ASEP	0404653
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve SCOPUS
Title	On Informational Characteristics of Willshaw-Like Auto-Associative Memory
Author(s)	Frolov, A. A. (RU) Rachkovskij, D. (RU) Húsek, Dušan (UIVT-O)_{RID, SAI, ORCID}
Source Title	Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552 Roč. 12, č. 2 (2002), s. 141-157
Number of pages	17 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	Willshaw-like ; space encoding ; attractor neural network ; binary Hebbian synapses ; computer simulations ; constant ; informational capacity ; attraction basis size ; single-step approximation ; Gibson-Robinson approximation
Subject RIV	BA - General Mathematics
R&D Projects	GA201/01/1192 GA ČR - Czech Science Foundation (CSF)
	GA201/00/1031 GA ČR - Czech Science Foundation (CSF)
CEZ	1030915
EID SCOPUS	0036254130
Annotation	A sparsely encoded Willshaw-like attractor neural network based on the binary Hebbian synapses is investigated analytically and by computer simulations. A special inhibition mechanism which supports a constant number of active neurons at each time step is used. The informational capacity and the size of attraction basis are evaluated for the Single-Step and the Gibson-Robinson approximations, as well as for experimental results.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2003

Number of the records: 1