Paper Abstract and Keywords |
Presentation |
2008-03-12 15:40
Bayesian Restoration of Phase Response Curves and Prediction of Stochastic Behavior of Hippocampal CA1 Pyramidal Neurons Keisuke Ota (Tokyo Tech), Toru Aonishi (Tokyo Tech/RIKEN), Shigeo Watanabe, Hiroyoshi Miyakawa (TUPLS), Toshiaki Omori (JSPS PD/RIKEN), Masato Okada (Univ of Tokyo/RIKEN) NC2007-142 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, phase response curves (PRCs) of various neurons have been estimated by perturbation-response experiments. We have proposed a Bayesian statistical method for estimating PRCs from physiological data fluctuated by noise. In this method, we can identify Langevin equations representing phase motion, because the probabilistic model assumed in our method is based on Langevin equations. Therefore, Fokker-Planck (FP) equations based on PRCs can predict the stochastic behavior of neuron perturbed by arbitrary inputs. Here we carried out the following experiments with the dynamic clamp. First, we estimated a PRC and intensity of noise by perturbing a hippocampal CA1 pyramidal neuron, and we obtained a FP equation based on the PRC. Next, by loading a periodic perturbation onto the same neuron, we measured a histogram of phase differences between the perturbation and the neural spike. The histogram was coincident with an equilibrium distribution of the FP equation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Phase Response Curve / Hippocampal CA1 Pyramidal Neurons / Fokker-Planck Equation / Bayesian Approach / Linear Response Theory / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 542, NC2007-142, pp. 181-186, March 2008. |
Paper # |
NC2007-142 |
Date of Issue |
2008-03-05 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NC2007-142 |
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