Keshvari, S and van den Berg, R and Ma, WJ (2012) Probabilistic computation in human perception under variability in encoding precision. PLoS One, 7. e40216-.Full text not available from this repository.
A key function of the brain is to interpret noisy sensory information. To do so optimally, observers must, in many tasks, take into account knowledge of the precision with which stimuli are encoded. In an orientation change detection task, we find that encoding precision does not only depend on an experimentally controlled reliability parameter (shape), but also exhibits additional variability. In spite of variability in precision, human subjects seem to take into account precision near-optimally on a trial-to-trial and item-to-item basis. Our results offer a new conceptualization of the encoding of sensory information and highlight the brain's remarkable ability to incorporate knowledge of uncertainty during complex perceptual decision-making.
|Uncontrolled Keywords:||Adult Decision Making Female Humans Likelihood Functions Male Models, Neurological Photic Stimulation Probability Reproducibility of Results Visual Perception Young Adult|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:14|
|Last Modified:||18 Jan 2017 03:51|