Presentation 1998/3/19
Information Transmission Mechanisms of Active Axon in Neural Network
Atsushi FUJITA, Kazutaka SOMEYA, Katsutoshi SAEKI, Yoshifumi SEKINE,
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Abstract(in English) This paper discusses information transmission mechanisms of active axon, which exists in biological neural networks, with particular reference to chaotic phenomena. The analysis is carried out by both theoretical and hardware models. As a result, first, we show that the chaos observed in time series of amplitudes is transferred to time series of interspike intervals. And also, we clarify the information transmission mechanisms. Next, we discuss effects of refractoriness of the active axon on the information transmission by changing threshold of the active axon. In this paper, we assume that the changing the threshold of the active axon is corresponding to the refractoriness. As a result, we show that the chaos observed in the amplitudes can be transferred to the interspike intervals in spite of the threshold of the active axon.
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Keyword(in English) axon / active feature / chaotic phenomena / relative refractoriness / information transmission / neural networks
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Conference Date 1998/3/19(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Information Transmission Mechanisms of Active Axon in Neural Network
Sub Title (in English)
Keyword(1) axon
Keyword(2) active feature
Keyword(3) chaotic phenomena
Keyword(4) relative refractoriness
Keyword(5) information transmission
Keyword(6) neural networks
1st Author's Name Atsushi FUJITA
1st Author's Affiliation College of Science and Technology, Nihon UNIVERSITY()
2nd Author's Name Kazutaka SOMEYA
2nd Author's Affiliation College of Science and Technology, Nihon UNIVERSITY
3rd Author's Name Katsutoshi SAEKI
3rd Author's Affiliation College of Science and Technology, Nihon UNIVERSITY
4th Author's Name Yoshifumi SEKINE
4th Author's Affiliation College of Science and Technology, Nihon UNIVERSITY
Date 1998/3/19
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Volume (vol) vol.97
Number (no) 623
Page pp.pp.-
#Pages 7
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