| Title |
In favor of general probability distributions: lateral prefrontal and insular cortices respond to stimulus inherent, but irrelevant differences
|
|---|---|
| Published in |
Brain Structure and Function, December 2014
|
| DOI | 10.1007/s00429-014-0966-7 |
| Pubmed ID | |
| Authors |
Anna Mestres-Missé, Robert Trampel, Robert Turner, Sonja A. Kotz |
| 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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Professor | 3 | 20% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 40% |
| Arts and Humanities | 2 | 13% |
| Computer Science | 1 | 7% |
| Linguistics | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2015.
All research outputs
#15,270,937
of 24,217,893 outputs
Outputs from Brain Structure and Function
#873
of 1,725 outputs
Outputs of similar age
#196,045
of 361,460 outputs
Outputs of similar age from Brain Structure and Function
#21
of 44 outputs
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