| Presentation | 2012-07-30 Population coding of odorant information in the moth antennal lobe Ryota KOBAYASHI, Shun-ichi FUJIMORI, Shigehiro NAMIKI, Ryohei KANZAKI, Katsunori KITANO, Ikuko NISHIKAWA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Due to the simplicity of the brain anatomy and similarity to vertebrates, insect is a model animal for investigating olfactory systems. The antennal lobe is a first olfactory relay in the insect olfactory system, which is functionally and anatomically equivalent to the mammalian olfactory bulb. In this study, we examined the encoding and decoding of odorants by neurons in the antennal lobe in the silkmoth olfactory system. Three kinds of odorants are stimulated to silkmoths and the responses of the antennal lobe projection neurons (PNs) are recorded intracellularly. First, the odor selectivity of PNs was analyzed. Most neurons responds to more than two odorants and a few neurons respond to a specific odor. Second, we decode odorant identity from the firing rates of the PNs using an extension of the population vector method. The results show that a few PNs can discriminate the odorants accurately. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | olfactory system / antennal lobe (AL) / population coding / population vector method |
| Paper # | NC2012-25 |
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| Committee | NC |
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| Conference Date | 2012/7/23(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (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) | Population coding of odorant information in the moth antennal lobe |
| Sub Title (in English) | |
| Keyword(1) | olfactory system |
| Keyword(2) | antennal lobe (AL) |
| Keyword(3) | population coding |
| Keyword(4) | population vector method |
| 1st Author's Name | Ryota KOBAYASHI |
| 1st Author's Affiliation | Department of Human and Computer Intelligence, Ritsumeikan University() |
| 2nd Author's Name | Shun-ichi FUJIMORI |
| 2nd Author's Affiliation | Department of Human and Computer Intelligence, Ritsumeikan University |
| 3rd Author's Name | Shigehiro NAMIKI |
| 3rd Author's Affiliation | Research Center for Advanced Science and Technology, The University of Tokyo |
| 4th Author's Name | Ryohei KANZAKI |
| 4th Author's Affiliation | Research Center for Advanced Science and Technology, The University of Tokyo |
| 5th Author's Name | Katsunori KITANO |
| 5th Author's Affiliation | Department of Human and Computer Intelligence, Ritsumeikan University |
| 6th Author's Name | Ikuko NISHIKAWA |
| 6th Author's Affiliation | Department of Human and Computer Intelligence, Ritsumeikan University |
| Date | 2012-07-30 |
| Paper # | NC2012-25 |
| Volume (vol) | vol.112 |
| Number (no) | 168 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |