Presentation | 2007-10-18 Fisher information in stochastic neural network models Masafumi OIZUMI, Keiji MIURA, Masato OKADA, |
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Abstract(in English) | Fisher information quantitatively measures encoding accuracy of neural population coding. If neurons fired independently, it is easy to calculate the Fisher information. However, taking into account of neural correlations, which are observed in real nervous systems, calculating the Fisher information becomes hard problems. This is because calculating neural correlations, which is second-order statistics, is difficult. We developed a theory in which auto-correlations and cross-correlations can be analytically calculated in a stochastic spiking neuron model called spike response model. Using our theory, the Fisher information can be analytically calculated under the assumption that fluctuations of mean firing rates obey gaussian distribution. We apply our theoretical framework to a model of orientation selectivity in primary visual cortex and investigate how recurrent excitation and lateral inhibition affect information encoding of neural activities. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | spike response model / auto-correlation / cross-correlation / Fisher information / primary visual cortex / orientation selectivity |
Paper # | NC2007-36 |
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Committee | NC |
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Conference Date | 2007/10/11(1days) |
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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) | Fisher information in stochastic neural network models |
Sub Title (in English) | |
Keyword(1) | spike response model |
Keyword(2) | auto-correlation |
Keyword(3) | cross-correlation |
Keyword(4) | Fisher information |
Keyword(5) | primary visual cortex |
Keyword(6) | orientation selectivity |
1st Author's Name | Masafumi OIZUMI |
1st Author's Affiliation | Graduate School of Frontier Sciences, The University of Tokyo() |
2nd Author's Name | Keiji MIURA |
2nd Author's Affiliation | Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute |
3rd Author's Name | Masato OKADA |
3rd Author's Affiliation | Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute |
Date | 2007-10-18 |
Paper # | NC2007-36 |
Volume (vol) | vol.107 |
Number (no) | 263 |
Page | pp.pp.- |
#Pages | 6 |
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