Abstract:
:Investigation into the neural and computational bases of decision-making has proceeded in two parallel but distinct streams. Perceptual decision-making (PDM) is concerned with how observers detect, discriminate, and categorize noisy sensory information. Economic decision-making (EDM) explores how options are selected on the basis of their reinforcement history. Traditionally, the sub-fields of PDM and EDM have employed different paradigms, proposed different mechanistic models, explored different brain regions, disagreed about whether decisions approach optimality. Nevertheless, we argue that there is a common framework for understanding decisions made in both tasks, under which an agent has to combine sensory information (what is the stimulus) with value information (what is it worth). We review computational models of the decision process typically used in PDM, based around the idea that decisions involve a serial integration of evidence, and assess their applicability to decisions between good and gambles. Subsequently, we consider the contribution of three key brain regions - the parietal cortex, the basal ganglia, and the orbitofrontal cortex (OFC) - to perceptual and EDM, with a focus on the mechanisms by which sensory and reward information are integrated during choice. We find that although the parietal cortex is often implicated in the integration of sensory evidence, there is evidence for its role in encoding the expected value of a decision. Similarly, although much research has emphasized the role of the striatum and OFC in value-guided choices, they may play an important role in categorization of perceptual information. In conclusion, we consider how findings from the two fields might be brought together, in order to move toward a general framework for understanding decision-making in humans and other primates.
journal_name
Front Neuroscijournal_title
Frontiers in neuroscienceauthors
Summerfield C,Tsetsos Kdoi
10.3389/fnins.2012.00070subject
Has Abstractpub_date
2012-05-24 00:00:00pages
70eissn
1662-4548issn
1662-453Xjournal_volume
6pub_type
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章,评审
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journal_title:Frontiers in neuroscience
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doi:10.3389/fnins.2020.00020
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnins.2014.00032
更新日期:2014-02-25 00:00:00
abstract::The Embden-Meyerhof-Parnas (EMP) pathway comprises eleven cytosolic enzymes interacting to metabolize glucose to lactic acid [CH3CH(OH)COOH]. Glycolysis is largely considered as the conversion of glucose to pyruvate (CH3COCOO-). We consider glycolysis to be a cellular process and as such, transporters mediating glucos...
journal_title:Frontiers in neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnins.2018.00404
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnins.2017.00619
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journal_title:Frontiers in neuroscience
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doi:10.3389/fnins.2017.00292
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnins.2014.00313
更新日期:2014-10-13 00:00:00
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journal_title:Frontiers in neuroscience
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnins.2019.00728
更新日期:2019-07-24 00:00:00
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章
doi:10.3389/fnins.2020.00908
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章
doi:10.3389/fnins.2012.00179
更新日期:2012-12-13 00:00:00
abstract:Purpose:The aim of this study was to explore experiences of upper limb somatosensory discrimination retraining in persons with stroke. Methods:A qualitative methodology was used within the context of a randomized control trial of somatosensory retraining: the CoNNECT trial. Participants in the CoNNECT trial completed ...
journal_title:Frontiers in neuroscience
pub_type: 杂志文章
doi:10.3389/fnins.2019.00756
更新日期:2019-07-24 00:00:00
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journal_title:Frontiers in neuroscience
pub_type: 杂志文章
doi:10.3389/fnins.2020.563768
更新日期:2020-11-03 00:00:00
abstract::A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities between learning dynamics employed in deep artificial neural networks and synaptic plasticity in spiking neural networ...
journal_title:Frontiers in neuroscience
pub_type: 杂志文章
doi:10.3389/fnins.2020.00424
更新日期:2020-05-12 00:00:00