Optimal integration of independent observations from Poisson sources

被引：0

作者：

Dai, Huanping ^{[1
]}

Buss, Emily ^{[2
]}

机构：

[1] Univ Arizona, Dept Speech Language & Hearing Sci, Tucson, AZ 85721 USA

[2] Univ N Carolina, Dept Otolaryngol Head & Neck Surg, Chapel Hill, NC 27599 USA

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA | 2015年 / 137卷 / 01期

关键词：

RATE RESPONSES; TONES; NOISE;

D O I：

10.1121/1.4903228

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The optimal integration of information from independent Poisson sources (such as neurons) was analyzed in the context of a two-interval, forced-choice detection task. When the mean count of the Poisson distribution is above 1, the benefit of integration is closely approximated by the predictions based on the square-root law of the Gaussian model. When the mean count falls far below 1, however, the benefit of integration clearly exceeds the predictions based on the square-root law. (C) 2014 Acoustical Society of America

引用

页码：EL20 / EL25

页数：6

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