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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2008/10/31(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |
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