Efficient estimation of sensory thresholds with ML-PEST

被引：54

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

页码：121 / 128

页数：8

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