Presentation 2008-11-08
The Waveform Conduction Characteristic of NN Using Pulse-Type Hardware Chaos Neuron Model
Ken SAITO, Yoshifumi SEKINE,
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Abstract(in English) Various coding hypothesis are reported by using the mathematical pulse-type neuron model. However, the information processing functions is not clear when neurons respond asynchronously or chaotic for the input waveform. We are studying about the information processing functions of NN on the basis of local information processing using hardware models. This paper clarifies the waveform conduction characteristics of NN using pulse-type hardware chaos neuron models and axon models which can construct the large scale NN. We clarify the waveform conduction characteristics when the input waveform changed to the chaotic pulses waveform.
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Keyword(in English) Pulse-Type Hardware Chaos Neuron Model / Neural Network / Waveform Conduction Characteristic / Axon Model / Instantaneous Firing Rate
Paper # NC2008-70
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Committee NC
Conference Date 2008/10/31(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Waveform Conduction Characteristic of NN Using Pulse-Type Hardware Chaos Neuron Model
Sub Title (in English)
Keyword(1) Pulse-Type Hardware Chaos Neuron Model
Keyword(2) Neural Network
Keyword(3) Waveform Conduction Characteristic
Keyword(4) Axon Model
Keyword(5) Instantaneous Firing Rate
1st Author's Name Ken SAITO
1st Author's Affiliation College of Humanities and Sciences, Nihon University()
2nd Author's Name Yoshifumi SEKINE
2nd Author's Affiliation College of Science and Technology, Nihon University
Date 2008-11-08
Paper # NC2008-70
Volume (vol) vol.108
Number (no) 281
Page pp.pp.-
#Pages 6
Date of Issue