Literature DB >> 16180619

Behavioral and neural predictors of upcoming decisions.

M X Cohen1, C Ranganath.   

Abstract

Although it is widely known that brain regions such as the prefrontal cortex, the amygdala, and the ventral striatum play large roles in decision making, their precise contributions remain unclear. Here, we used functional magnetic resonance imaging and principles of reinforcement learning theory to investigate the relationship between current reinforcements and future decisions. In the experiment, subjects chose between high-risk (i.e., low probability of a large monetary reward) and low-risk (high probability of a small reward) decisions. For each subject, we estimated value functions that represented the degree to which reinforcements affected the value of decision options on the subsequent trial. Individual differences in value functions predicted not only trial-to-trial behavioral strategies, such as choosing high-risk decisions following high-risk rewards, but also the relationship between activity in prefrontal and subcortical regions during one trial and the decision made in the subsequent trial. These findings provide a novel link between behavior and neural activity by demonstrating that value functions are manifested both in adjustments in behavioral strategies and in the neural activity that accompanies those adjustments.

Mesh:

Substances:

Year:  2005        PMID: 16180619     DOI: 10.3758/cabn.5.2.117

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  59 in total

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5.  Trend detection via temporal difference model predicts inferior prefrontal cortex activation during acquisition of advantageous action selection.

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8.  Value-dependent selection in the brain: simulation in a synthetic neural model.

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9.  Decision-making processes following damage to the prefrontal cortex.

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  31 in total

1.  Perceptual Salience and Reward Both Influence Feedback-Related Neural Activity Arising from Choice.

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Review 2.  Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.

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3.  Reinforcement learning signals predict future decisions.

Authors:  Michael X Cohen; Charan Ranganath
Journal:  J Neurosci       Date:  2007-01-10       Impact factor: 6.167

4.  Neural correlates of decision making with explicit information about probabilities and incentives in elderly healthy subjects.

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Journal:  Exp Brain Res       Date:  2008-03-05       Impact factor: 1.972

5.  Individual differences and the neural representations of reward expectation and reward prediction error.

Authors:  Michael X Cohen
Journal:  Soc Cogn Affect Neurosci       Date:  2007-03       Impact factor: 3.436

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Review 7.  A systematic examination of preoperative surgery warm-up routines.

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Review 9.  Neurocomputational mechanisms of reinforcement-guided learning in humans: a review.

Authors:  Michael X Cohen
Journal:  Cogn Affect Behav Neurosci       Date:  2008-06       Impact factor: 3.282

Review 10.  Neurocomputational models of basal ganglia function in learning, memory and choice.

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