Presentation | 2004-11-27 STDP network Transforms Spatiotemporal Pattern to Synchrony Ryosuke HOSAKA, Osamu ARAKI, Tohru IKEGUCHI, |
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Abstract(in English) | Recent experimental results show the sensitivity of synaptic plasticity to the timing of synaptic events and postsynaptic firings (spike timing dependent plasticity: STDP). Although many of studies have been made on STDP, little is known about the effect of STDP on the relation between external input patterns to the recurrent neural network and its output spikes. In this study, we examine this relation by computer simulations of a spiking neural network with STDP. We find that STDP organized the neural network to transform an external spatiotemporal input pattern into a synchronous firing. The transformation could be achieved on the multiple inputs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Spike-Timing-Dependent Plasticity / Spatiotemporal pattern / Synchrony / Nagumo-Sato neuron |
Paper # | NLP2004-85 |
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Committee | NLP |
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Conference Date | 2004/11/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | STDP network Transforms Spatiotemporal Pattern to Synchrony |
Sub Title (in English) | |
Keyword(1) | Spike-Timing-Dependent Plasticity |
Keyword(2) | Spatiotemporal pattern |
Keyword(3) | Synchrony |
Keyword(4) | Nagumo-Sato neuron |
1st Author's Name | Ryosuke HOSAKA |
1st Author's Affiliation | Graduate school of Science and Engineering, Saitama University() |
2nd Author's Name | Osamu ARAKI |
2nd Author's Affiliation | Department of Applied Physics, Tokyo University of Science |
3rd Author's Name | Tohru IKEGUCHI |
3rd Author's Affiliation | Graduate school of Science and Engineering, Saitama University |
Date | 2004-11-27 |
Paper # | NLP2004-85 |
Volume (vol) | vol.104 |
Number (no) | 472 |
Page | pp.pp.- |
#Pages | 6 |
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