Presentation | 2009-07-13 Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons Yasuhiro TSUBO, Yoshikazu ISOMURA, Tomoki FUKAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Spike sequences recorded from cortical neurons in an awake animal are known to be highly irregular. It is crucial for elucidating the cognitive function in the brain to understand how the irregular spike sequences are caused by intrinsic properties of the neurons and/or input properties from surrounding neurons. To clarify this, we estimated the inter-spike interval (ISI) distributions from the spike sequences recorded from in vivo neurons in rat motor cortex during a self-paced forelimb movement task. We found that the ISIs obeyed long-tailed power-law distributions. This result is consistent with the hypothesis that the firing rate of in vivo cortical neuron varies largely over time and its distribution obeys a gamma distribution. The gamma distribution of firing rate infers a novel principle, minimum conditional entropy principle, that the input firing rate is designed in a way to maximize the neuronal reliability of the spike generating mechanism by minimizing the influence of translation noise. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Inter-spike interval / Power-law distribution / Irregular spike times / Conditional entropy / Mutual information |
Paper # | NLP2009-20,NC2009-13 |
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Committee | NLP |
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Conference Date | 2009/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons |
Sub Title (in English) | |
Keyword(1) | Inter-spike interval |
Keyword(2) | Power-law distribution |
Keyword(3) | Irregular spike times |
Keyword(4) | Conditional entropy |
Keyword(5) | Mutual information |
1st Author's Name | Yasuhiro TSUBO |
1st Author's Affiliation | RIKEN BSI() |
2nd Author's Name | Yoshikazu ISOMURA |
2nd Author's Affiliation | RIKEN BSI |
3rd Author's Name | Tomoki FUKAI |
3rd Author's Affiliation | RIKEN BSI |
Date | 2009-07-13 |
Paper # | NLP2009-20,NC2009-13 |
Volume (vol) | vol.109 |
Number (no) | 124 |
Page | pp.pp.- |
#Pages | 3 |
Date of Issue |