English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

In favor of general probability distributions: Lateral prefrontal and insular cortices respond to stimulus inherent, but irrelevant differences

MPS-Authors
/persons/resource/persons19854

Mestres-Misse,  Anna
School of Psychological Sciences, University of Manchester, United Kingdom;
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons20053

Trampel,  Robert
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons20055

Turner,  Robert
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19791

Kotz,  Sonja A.
School of Psychological Sciences, University of Manchester, United Kingdom;
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Mestres-Misse, A., Trampel, R., Turner, R., & Kotz, S. A. (2016). In favor of general probability distributions: Lateral prefrontal and insular cortices respond to stimulus inherent, but irrelevant differences. Brain Structure & Function, 221(3), 1781-1786. doi:10.1007/s00429-014-0966-7.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0024-E54E-C
Abstract
A key aspect of optimal behavior is the ability to predict what will come next. To achieve this, we must have a fairly good idea of the probability of occurrence of possible outcomes. This is based both on prior knowledge about a particular or similar situation and on immediately relevant new information. One question that arises is: when considering converging prior probability and external evidence, is the most probable outcome selected or does the brain represent degrees of uncertainty, even highly improbable ones? Using functional magnetic resonance imaging, the current study explored these possibilities by contrasting words that differ in their probability of occurrence, namely, unbalanced ambiguous words and unambiguous words. Unbalanced ambiguous words have a strong frequency-based bias towards one meaning, while unambiguous words have only one meaning. The current results reveal larger activation in lateral prefrontal and insular cortices in response to dominant ambiguous compared to unambiguous words even when prior and contextual information biases one interpretation only. These results suggest a probability distribution, whereby all outcomes and their associated probabilities of occurrence-even if very low-are represented and maintained.