CUED Publications database

Paradoxical evidence integration in rapid decision processes

Rüter, J and Marcille, N and Sprekeler, H and Gerstner, W and Herzog, MH (2012) Paradoxical evidence integration in rapid decision processes. PLoS Computational Biology, 8. ISSN 1553-734X

Full text not available from this repository.


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. © 2012 Rüter et al.

Item Type: Article
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:26
Last Modified: 21 Jun 2018 02:38