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 language | English (US) |
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Pages (from-to) | EL20-EL25 |
Journal | Journal of the Acoustical Society of America |
Volume | 137 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2015 |
ASJC Scopus subject areas
- Arts and Humanities (miscellaneous)
- Acoustics and Ultrasonics