Optimal integration of independent observations from Poisson sources

Huanping Dai, Emily Buss

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)EL20-EL25
JournalJournal of the Acoustical Society of America
Volume137
Issue number1
DOIs
StatePublished - Jan 1 2015

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ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Arts and Humanities (miscellaneous)

Cite this

Optimal integration of independent observations from Poisson sources. / Dai, Huanping; Buss, Emily.

In: Journal of the Acoustical Society of America, Vol. 137, No. 1, 01.01.2015, p. EL20-EL25.

Research output: Contribution to journalArticle

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