Simple reaction time with markovian evolution of gaussian discriminal processes
- 1 March 1970
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 35 (1) , 99-109
- https://doi.org/10.1007/bf02290596
Abstract
If the discriminal distributions of signal-detectability theory evolve in time according to a normal Markov process, they can be characterized by Brownian motion generalized with a constant bias determined by signal strength. If the process is stopped at the first occurrence of a preset criterion displacement, the resulting latency distribution provides a model for the central component of simple reaction time. Discussed are properties of the distribution which should be useful in obtaining experimental predictions from neural-counting assumptions, and in relating reaction times to basic variables of the theory of signal-detectability.Keywords
This publication has 14 references indexed in Scilit:
- Neural counting mechanisms and energy detection in auditionJournal of Mathematical Psychology, 1967
- Latency Models for Reaction Time DistributionsPsychometrika, 1965
- Inferred components of reaction times as functions of foreperiod duration.Journal of Experimental Psychology, 1965
- The sequential estimation and detection of signals in normal noise. IIInformation and Control, 1965
- Stochastic models for choice reaction time with applications to experimental resultsJournal of Mathematical Psychology, 1965
- Human Discrimination of Auditory DurationThe Journal of the Acoustical Society of America, 1962
- Decision processes in perception.Psychological Review, 1961
- Models for choice-reaction timePsychometrika, 1960
- Signal Detection as a Function of Signal Intensity and DurationThe Journal of the Acoustical Society of America, 1957
- Decision structure and time relations in simple choice behaviorBulletin of Mathematical Biology, 1956