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A model for signal detection based on an adaptive filter

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Abstract

A model for the detection of brief stimuli based on a change detection algorithm and a random walk traversed by the residuals generated by an adaptive filter is proposed. A linear relationship between mean RT and response proportion measures obtained in a simulation of the model was consistent with data obtained in psychophysical discrimination tasks using human observers. In this way the role of the sensory system as a detector of change in ambient stimulation could be incorporated into a signal detection model.

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Authors and Affiliations

  1. The University of Newcastle, Newcastle, Australia

    Richard A. Heath

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  1. Richard A. Heath
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Heath, R.A. A model for signal detection based on an adaptive filter. Biol. Cybern. 45, 95–100 (1982). https://doi.org/10.1007/BF00335235

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  • DOI: https://doi.org/10.1007/BF00335235

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