| Presentation | 2008-03-13 Prediction of PRCs in Hippocampal CA3 Neurons by Top-down Approach Toru AONISHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We proposed a top-down framework based on the statistical mechanics to predict phase response curves (PRCs) of hippocampal CA3 pyramidal neurons. First, we hypothesized that the hippocampal CA3 network computationally works as an associative memory, and introduced a minimum model of the oscillator associative memory network consisting of time window functions of the spike timing-dependent synaptic plasticity (STDP) and PRCs, which fulfills physical limitations. We derived a free energy of this system by use of analytical approaches of the statistical mechanics. Then, by minimizing the free energy under a condition restrained by a given STDP time window function, we obtained an optimal PRC for the associative memory retrieving phase information embedded by the STDP. If a PRC predicted by the top-down framework had a resemblance to that of real pyramidal neurons, the hippocampal CA3 network might be optimized for working as the associative memory. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Free energy / Phase response curve / STDP / Hippocampal CA3 / Oscillator associative memory model |
| Paper # | NC2007-156 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2008/3/5(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) | Prediction of PRCs in Hippocampal CA3 Neurons by Top-down Approach |
| Sub Title (in English) | |
| Keyword(1) | Free energy |
| Keyword(2) | Phase response curve |
| Keyword(3) | STDP |
| Keyword(4) | Hippocampal CA3 |
| Keyword(5) | Oscillator associative memory model |
| 1st Author's Name | Toru AONISHI |
| 1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| Date | 2008-03-13 |
| Paper # | NC2007-156 |
| Volume (vol) | vol.107 |
| Number (no) | 542 |
| Page | pp.pp.- |
| #Pages | 6 |
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