Paradoxical evidence integration in rapid decision processes.

PLoS Computational Biology
Johannes RüterMichael H Herzog

Abstract

Decisions about noisy stimuli require evidence integration over time. Traditionally, evidence integration and decision making are described as a one-stage process: a decision is made when evidence for the presence of a stimulus crosses a threshold. Here, we show that one-stage models cannot explain psychophysical experiments on feature fusion, where two visual stimuli are presented in rapid succession. Paradoxically, the second stimulus biases decisions more strongly than the first one, contrary to predictions of one-stage models and intuition. We present a two-stage model where sensory information is integrated and buffered before it is fed into a drift diffusion process. The model is tested in a series of psychophysical experiments and explains both accuracy and reaction time distributions.

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Citations

Jan 26, 2013·PloS One·Johannes RüterMichael H Herzog
Oct 18, 2013·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Roozbeh KianiMichael N Shadlen
Dec 17, 2015·Cognitive Science·Holger Schultheis, Laura A Carlson
Sep 16, 2014·Frontiers in Psychology·Andreas Wutz, David Melcher
Oct 25, 2017·Neural Computation·Mohammadjavad FarajiWulfram Gerstner
Apr 2, 2020·Psychonomic Bulletin & Review·Peter A White
Jul 10, 2019·Journal of Vision·Julie FreschlErik Blaser
Oct 28, 2019·Nature Communications·Leila Drissi-DaoudiMichael H Herzog

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