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Modification of Holographic Graph Neuron using Sparse Distributed Representations
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- Kleyko, Denis (author)
- Luleå tekniska universitet,Datavetenskap
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- Osipov, Evgeny (author)
- Luleå tekniska universitet,Datavetenskap
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- Rachkovskij, Dmitri A. (author)
- International Research and Training Center for Information Technologies and Systems
- (creator_code:org_t)
- Elsevier, 2016
- 2016
- English.
- In: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 88, s. 39-45
- Journal article (peer-reviewed)
Abstract
Subject headings
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- This article presents a modification of the recently proposed Holographic Graph Neuron approach for memorizing patterns of generic sensor stimuli. The original approach represents patterns as dense binary vectors, where zeros and ones are equiprobable. The presented modification employs sparse binary distributed representations where the number of ones is less than zeros. Sparse representations are more biologically plausible because activities of real neuronsare sparse. Performance was studied comparing approaches for different sizes of dimensionality.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Dependable Communication and Computation Systems
- Kommunikations- och beräkningssystem
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- ref (subject category)
- art (subject category)
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- Luleå University of Technology
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