Efficient estimation of sensory thresholds with ML-PEST

被引：55
作者：
Harvey, LO
机构：
[1] Department of Psychology, Campus Box 345, University of Colorado, Boulder
来源：
SPATIAL VISION | 1997年 / 11卷 / 01期
关键词：
Number:; -; Acronym:; Sponsor: Alexander von Humboldt-Stiftung;
D O I：
10.1163/156856897X00159
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
A set of C and C++ routines are described that allow the efficient estimation of sensory thresholds in psychophysical experiments using a maximum-likelihood staircase procedure. They have been used effectively in visual, auditory, gustatory, and olfactory psychophysics.
引用
收藏
页码：121 / 128
页数：8
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