Presentation 2009-12-11
On the estimating method of the information rates of retinal ganglion cells
Hiroki SAITO, Yoshimi KAMIYAMA,
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Abstract(in English) Mutual information is often used to quantify the response property of retinal ganglion cells to sensory inputs. To calculate mutual information from experimental data, a common method is to make a histogram of data samples by discretizing them into appropriate bins. However, the result is highly dependent on the choice of bin size and is subject to approximation error, especially when the number of data is limited. In this study, we introduce a mutual information estimation method using Bayesian method. We apply the method to the information rate analysis of spike trains of retinal ganglion cells. The validity of the proposed method is evaluated through simulation experiment.
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Keyword(in English) retinal ganglion cell / spike train / mutual information rate / Bayesian estimation / protocol
Paper # NC2009-69
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Committee NC
Conference Date 2009/12/4(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the estimating method of the information rates of retinal ganglion cells
Sub Title (in English)
Keyword(1) retinal ganglion cell
Keyword(2) spike train
Keyword(3) mutual information rate
Keyword(4) Bayesian estimation
Keyword(5) protocol
1st Author's Name Hiroki SAITO
1st Author's Affiliation Graduate School of Information Science, Aichi Prefectural University()
2nd Author's Name Yoshimi KAMIYAMA
2nd Author's Affiliation Graduate School of Information Science, Aichi Prefectural University
Date 2009-12-11
Paper # NC2009-69
Volume (vol) vol.109
Number (no) 333
Page pp.pp.-
#Pages 6
Date of Issue