| Presentation | 2013-03-15 A Multi-compartment Neuron Model Based on Asynchronous Cellular Automata Naoki SHIMADA, Hiroyuki TORIKAI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As one of the neuron models based on asynchronous cellular automata, a resonate-and-fire digital spiking neuron (RDN)has been proposed. The RDN is aimed at imitation of behavior of a single neuron. A neuron is roughly divided into three parts, a soma, dendrites, and an axon. Among those parts, the RDN is the model proposed in paying special attention to properties of a soma, which plays main roles in information processing. In this paper, we present a novel multi-compartment neuron (MCN), which is taken into consideration not only a soma but also dendrites and is based on the RDNs. Then, we try to reproduce properties of propagation of potential in dendrites by using the MCN. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spiking Neuron Model / Asynchronous Cellular Automata / Multi-compartment Neuron / Dendrites |
| Paper # | NLP2012-168 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2013/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Multi-compartment Neuron Model Based on Asynchronous Cellular Automata |
| Sub Title (in English) | |
| Keyword(1) | Spiking Neuron Model |
| Keyword(2) | Asynchronous Cellular Automata |
| Keyword(3) | Multi-compartment Neuron |
| Keyword(4) | Dendrites |
| 1st Author's Name | Naoki SHIMADA |
| 1st Author's Affiliation | Department of Systems Science, Graduate School of Engineering Science, Osaka University() |
| 2nd Author's Name | Hiroyuki TORIKAI |
| 2nd Author's Affiliation | Department of Systems Innovation, Graduate School of Engineering Science, Osaka University |
| Date | 2013-03-15 |
| Paper # | NLP2012-168 |
| Volume (vol) | vol.112 |
| Number (no) | 487 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |