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Response-locked classification image analysis of perceptual decision making in contrast detection
Hironori Maruyama1, Natsuki Ueno1, Isamu Motoyoshi2
1Department of Life Sciences, The University of Tokyo, Tokyo, Japan.
Scientific Reports
|November 30, 2021
Summary
Human decision-making relies on visual information. This study reveals how reaction time (RT) influences the visual information used, showing varied weighting profiles in dynamic decision-making tasks.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Perception
Background:
- Human decisions often involve processing sequential visual information.
- Understanding how observers utilize critical visual data in dynamic scenarios is crucial.
Purpose of the Study:
- To quantify visual information critical for decisions in dynamic tasks.
- To analyze the influence of reaction time (RT) on information utilization.
Main Methods:
- Applied classification image (CI) analysis.
- Utilized a response-locked CI approach in a luminance detection task with dynamic noise.
- Investigated a gradual luminance target appearance.
Main Results:
- The response-locked CI exhibited a spatiotemporally biphasic weighting profile peaking ~300 ms before response.
- This profile significantly varied with RT, showing positive weights at short RTs and negative weights at long RTs.
- Results align with a perceptual decision model accumulating output from a spatiotemporal contrast detector.
Conclusions:
- Reaction time critically modulates the weighting of visual information in dynamic decision-making.
- A simple accumulation model effectively explains observed variations in information utilization.
- Response-locked CI analysis offers insights into perceptual decision mechanisms.
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