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How mechanisms of perceptual decision-making affect the psychometric function
1116 Johnson Pavilion, Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104-6074, United States. jigold@mail.med.upenn.edu
Progress in Neurobiology
|May 22, 2012
Summary
Signal Detection Theory explains perception by separating sensory input from decision rules. New research shows how the brain
Area of Science:
- Neuroscience
- Cognitive Science
- Psychophysics
Background:
- Signal Detection Theory (SDT) is a common framework for interpreting psychometric functions.
- SDT distinguishes between sensory processing and non-sensory decision rules.
- Perceptual sensitivity in SDT relates sensory representation to neural activity but also includes information readout.
Purpose of the Study:
- To discuss recent advances in understanding neural information readout processes.
- To describe the effects of readout on psychometric functions, including threshold, slope, and asymptote.
- To highlight perceptual learning studies that demonstrate changes in readout and their impact on psychometric functions.
Main Methods:
- Analysis of psychometric functions within the Signal Detection Theory framework.
- Emphasis on studies of perceptual learning.
- Discussion of methods to differentiate sensory representation from readout contributions.
Main Results:
- Specific aspects of the readout process have identifiable effects on psychometric function parameters.
- Perceptual learning can induce changes in the readout process.
- These readout changes can alter threshold, slope, and asymptote of psychometric functions.
Conclusions:
- The readout process is a critical determinant of psychometric function beyond sensory representation.
- Understanding readout is key to fully interpreting perceptual sensitivity.
- Methods exist to disentangle the contributions of sensory representation and readout to performance.
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