Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme

A basic frame, based on which certain features of sensory stimuli can be extracted systematically in a distributed coding scheme, has not been clarified yet. This paper proposes that the basic frame can be a dynamical map represented by itinerancy among attractors. Features of entities are encoded b...

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Veröffentlicht in:Neural networks Jg. 10; H. 8; S. 1375 - 1390
Hauptverfasser: Hoshino, Osamu, Usuba, Noriaki, Kashimori, Yoshiki, Kambara, Takeshi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.11.1997
Elsevier Science
Schlagworte:
Applied sciences
Artificial intelligence
Chaotic itinerancy
Computer science; control theory; systems
Connectionism. Neural networks
Distributed coding
Dynamical map
Exact sciences and technology
Memorization under theta rhythm
Phase transition
Short-term synaptic change
Distributed coding
Chaotic itinerancy
Dynamical map
Memorization under theta rhythm
Short-term synaptic change
Phase transition
Self organization
Dynamic characteristic
Coding
Information processing
Chaotic attractor
Information extraction
Neural network
Phase transitions
Recognition
ISSN:0893-6080, 1879-2782, 1879-2782
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Zusammenfassung:A basic frame, based on which certain features of sensory stimuli can be extracted systematically in a distributed coding scheme, has not been clarified yet. This paper proposes that the basic frame can be a dynamical map represented by itinerancy among attractors. Features of entities are encoded by attractors of neural networks. Relations between the features in each modality are mapped on dynamical links between the attractors in each network relevant to each modality. The itinerant states, in which the network dynamic state itinerates chaotically or cyclically among the attractors, can work as dynamical maps. The recognition of features is carried out by a phase transition from an itinerant state to a constituent attractor. The phase transition is induced by a short-term synaptic change based on the Hebbian rule under application of a relevant stimulation. A theta-like global oscillation is necessary for self-organized formation of the chaotically itinerant state.
Bibliographie:ObjectType-Article-1
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ISSN:0893-6080
1879-2782
1879-2782
DOI:10.1016/S0893-6080(97)00022-1