Predicting the Accuracy of a Decision: A Neural Mechanism of Confidence.
| Autor: | Fetsch CR; Howard Hughes Medical Institute, Department of Neuroscience and Kavli Institute for Brain Science, Columbia University, New York, New York 10032 crf2129@columbia.edu., Kiani R; Center for Neural Science, New York University, New York, New York 10003., Shadlen MN; Howard Hughes Medical Institute, Department of Neuroscience and Kavli Institute for Brain Science, Columbia University, New York, New York 10032. |
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| Jazyk: | angličtina |
| Zdroj: | Cold Spring Harbor symposia on quantitative biology [Cold Spring Harb Symp Quant Biol] 2014; Vol. 79, pp. 185-97. Date of Electronic Publication: 2015 Apr 28. |
| DOI: | 10.1101/sqb.2014.79.024893 |
| Abstrakt: | The quantitative study of decision-making has traditionally rested on three key behavioral measures: accuracy, response time, and confidence. Of these, confidence--defined as the degree of belief, prior to feedback, that a decision is correct-is least well understood at the level of neural mechanism, although recent years have seen a surge in interest in the topic among theoretical and systems neuroscientists. Here we review some of these developments and highlight a particular candidate mechanism for assigning confidence in a perceptual decision. The mechanism is appealing because it is rooted in the same decision-making framework--bounded accumulation of evidence--that successfully explains accuracy and reaction time in many tasks, and it is validated by neurophysiology and microstimulation experiments. (Copyright © 2014 Cold Spring Harbor Laboratory Press; all rights reserved.) |
| Databáze: | MEDLINE |
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