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- W2097935983 endingPage "e1002382" @default.
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- W2097935983 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." @default.
- W2097935983 created "2016-06-24" @default.
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- W2097935983 date "2012-02-16" @default.
- W2097935983 modified "2023-10-03" @default.
- W2097935983 title "Paradoxical Evidence Integration in Rapid Decision Processes" @default.
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- W2097935983 doi "https://doi.org/10.1371/journal.pcbi.1002382" @default.
- W2097935983 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3280955" @default.
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