| Presentation | 2006-10-11 Quantifying the Synchrony Between Two Event Strings by Performing Inference in a Probabilistic Model Justin Dauwels, Francois Vialatte, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a novel measure to quantify the synchrony between two event strings, referred to as "stochastic event synchrony" (SES); it is computed by performing inference in a probabilistic model. Two approaches to infer the SES parameters are proposed; one is based on iterative conditional modes (a.k.a. "cyclic maximization"), the other on expectation maximization. SES can a.o. be used to (i) detect synchrony in pairs of spike trains; (ii) to quantify the firing reliability of a single neuron. As an illustration, the firing reliability of an in vitro rat neocortical pyramidal cell is computed. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | NC2006-46 |
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| Committee | NC |
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| Conference Date | 2006/10/4(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantifying the Synchrony Between Two Event Strings by Performing Inference in a Probabilistic Model |
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| 1st Author's Name | Justin Dauwels |
| 1st Author's Affiliation | RIKEN Brain Science Institute() |
| 2nd Author's Name | Francois Vialatte |
| 2nd Author's Affiliation | RIKEN Brain Science Institute |
| Date | 2006-10-11 |
| Paper # | NC2006-46 |
| Volume (vol) | vol.106 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 6 |
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