| Presentation | 2007-06-14 Higher order ergodicity in LIF model Kantaro FUJIWARA, Kazuyuki AIHARA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Firing patterns of neurons are highly variable from trial to trial. In spike data analyses, statistics are averaged over trials, thus, trial variabilty is neglected. However, those variability may represent information. Masuda and Aihara (2003) has examined the ergodicity of the spike trains, which is the equivalence between the trial firing rate and the population firing rate. Similar to their discussion, we propose some higher order statistical measures between trials, and investigate how characteristics of noisy neural network models, such as single neuron properties of leaky integrate-and-fire (LIF) model, external stimuli, and synaptic inputs, affects our proposed measure. The results show that those measures may detect the population synchrony, and the same holds for the trial synchrony. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | higher order statistics / ergodicity / LIF model / synchronization / refractory period |
| Paper # | NC2007-11 |
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| Committee | NC |
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| Conference Date | 2007/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (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) | Higher order ergodicity in LIF model |
| Sub Title (in English) | |
| Keyword(1) | higher order statistics |
| Keyword(2) | ergodicity |
| Keyword(3) | LIF model |
| Keyword(4) | synchronization |
| Keyword(5) | refractory period |
| 1st Author's Name | Kantaro FUJIWARA |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| 2nd Author's Name | Kazuyuki AIHARA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo:Institute of Industrial Science, The University of Tokyo:ERATO, JST |
| Date | 2007-06-14 |
| Paper # | NC2007-11 |
| Volume (vol) | vol.107 |
| Number (no) | 92 |
| Page | pp.pp.- |
| #Pages | 5 |
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