title: Efficient estimation of sensory thresholds with ML-PEST.
abstract: A set of C and C+2 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.
authors.affiliation: Department of Psychology, University of Colorado, Boulder 80309-0345, USA.
authors.forename: L O
authors.initials: LO
authors.lastname: Harvey
mesh_terms: D006801:Humans; D008838:Microcomputers; D010775:Photic Stimulation; D011601:Psychophysics / Q000379:methods; D012684:Sensory Thresholds / Q000502:physiology*; D012984:Software; D014796:Visual Perception / Q000502:physiology*