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Paradoxical Evidence Integration in Rapid Decision Processes
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280955/ https://www.ncbi.nlm.nih.gov/pubmed/22359494 http://dx.doi.org/10.1371/journal.pcbi.1002382 |
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author | Rüter, Johannes Marcille, Nicolas Sprekeler, Henning Gerstner, Wulfram Herzog, Michael H. |
author_facet | Rüter, Johannes Marcille, Nicolas Sprekeler, Henning Gerstner, Wulfram Herzog, Michael H. |
author_sort | Rüter, Johannes |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3280955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32809552012-02-22 Paradoxical Evidence Integration in Rapid Decision Processes Rüter, Johannes Marcille, Nicolas Sprekeler, Henning Gerstner, Wulfram Herzog, Michael H. PLoS Comput Biol Research Article 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. Public Library of Science 2012-02-16 /pmc/articles/PMC3280955/ /pubmed/22359494 http://dx.doi.org/10.1371/journal.pcbi.1002382 Text en Rüter et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rüter, Johannes Marcille, Nicolas Sprekeler, Henning Gerstner, Wulfram Herzog, Michael H. Paradoxical Evidence Integration in Rapid Decision Processes |
title | Paradoxical Evidence Integration in Rapid Decision Processes |
title_full | Paradoxical Evidence Integration in Rapid Decision Processes |
title_fullStr | Paradoxical Evidence Integration in Rapid Decision Processes |
title_full_unstemmed | Paradoxical Evidence Integration in Rapid Decision Processes |
title_short | Paradoxical Evidence Integration in Rapid Decision Processes |
title_sort | paradoxical evidence integration in rapid decision processes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280955/ https://www.ncbi.nlm.nih.gov/pubmed/22359494 http://dx.doi.org/10.1371/journal.pcbi.1002382 |
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