Journal
ANNUAL REVIEW OF NEUROSCIENCE, VOL 44, 2021
Volume 44, Issue -, Pages 495-516Publisher
ANNUAL REVIEWS
DOI: 10.1146/annurev-neuro-092019-100200
Keywords
perceptual decision-making; evidence accumulation; cognitive modeling; EEG; MEG; fMRI
Categories
Funding
- Horizon 2020 European Research Council [63829]
- European Research Council [865474]
- Science Foundation Ireland [15/CDA/3591]
- Wellcome Trust [219572/Z/19/Z]
- Wellcome Trust [219572/Z/19/Z] Funding Source: Wellcome Trust
- European Research Council (ERC) [865474] Funding Source: European Research Council (ERC)
- Science Foundation Ireland (SFI) [15/CDA/3591] Funding Source: Science Foundation Ireland (SFI)
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Recent methodological advances have enabled the study of human brain signals that trace the dynamics of decision formation, revealing key elements of decision-making processes and algorithms in the brain.
The discovery of neural signals that reflect the dynamics of perceptual decision formation has had a considerable impact. Not only do such signals enable detailed investigations of the neural implementation of the decision-making process but they also can expose key elements of the brain's decision algorithms. For a long time, such signals were only accessible through direct animal brain recordings, and progress in human neuroscience was hampered by the limitations of noninvasive recording techniques. However, recent methodological advances are increasingly enabling the study of human brain signals that finely trace the dynamics of the unfolding decision process. In this review, we highlight how human neurophysiological data are now being leveraged to furnish new insights into the multiple processing levels involved in forming decisions, to inform the construction and evaluation of mathematical models that can explain intra- and interindividual differences, and to examine how key ancillary processes interact with core decision circuits.
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