Presentation | 2006-06-15 Statical Estimation of Phase Response Curve Keisuke OTA, Toru AONISHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The phase response curves (PRCs) represennt an impulse response of oscillatory system to capture an essence of a nonequilibrium dynamics induced by a small disturbance. Wheareas measuring PRCs is important for bridging single neuron dynamics and network dynamics, estimating methods for PRCs have not yet been established. In this paper, we proposed a Bayesian approach to estimate PRCs from noisy data measured by perturbation-response experiments. First, we analyzed the stochastic process describing the observation process in perturbation-response experiments, and obtained a probability distribution of the deterioration process of PRCs. Then, by introducing a prior generating PRCs, we proposed the Maximum A Posteriori (MAP) estimation algorithm for PRCs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Phase Response Curve / Liner Response Theory / Fokker-Planck Equation / Bayesian Approach / MAP Estimation |
Paper # | NC2006-13 |
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Committee | NC |
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Conference Date | 2006/6/8(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Statical Estimation of Phase Response Curve |
Sub Title (in English) | |
Keyword(1) | Phase Response Curve |
Keyword(2) | Liner Response Theory |
Keyword(3) | Fokker-Planck Equation |
Keyword(4) | Bayesian Approach |
Keyword(5) | MAP Estimation |
1st Author's Name | Keisuke OTA |
1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Toru AONISHI |
2nd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
Date | 2006-06-15 |
Paper # | NC2006-13 |
Volume (vol) | vol.106 |
Number (no) | 101 |
Page | pp.pp.- |
#Pages | 5 |
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