Pooling Peripheral Information: Averages Versus Extreme Values*

@inproceedings{Wandell1978PoolingPI,
  title={Pooling Peripheral Information: Averages Versus Extreme Values*},
  author={Brian A. Wandell and R. Duncan Luce},
  year={1978}
}
Suppose, as an idealization, that sensory intensity is coded in peripheral channels as identical Poisson pulse trains with intensity parameter a power function of signal intensity. Discrimination models based on either an average count computed over a fixed time or an average time computed for a fixed count per channel have difEculty in fitting the Weber function (AI/I versus I) if the free parameters are constrained to ranges determined from other experiments (magnitude estimation, reaction… CONTINUE READING
BETA

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 14 CITATIONS

When less equals more: Probability summation without sensitivity improvement.

  • Journal of experimental psychology. Human perception and performance
  • 2014

Color measurement and discrimination.

  • Journal of the Optical Society of America. A, Optics and image science
  • 1985
VIEW 1 EXCERPT
CITES BACKGROUND

Similar Papers

Loading similar papers…