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Linking neural activity to complex decisions

Published online by Cambridge University Press:  16 September 2013

BENJAMIN HAYDEN  and
TATIANA PASTERNAK
BENJAMIN HAYDEN*
Affiliation:
Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, New York
TATIANA PASTERNAK
Affiliation:
Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, New York Department of Neurobiology and Anatomy, University of Rochester Medical Center, Center for Visual Science, University of Rochester, Rochester, New York
*
*Address correspondence to: Dr. Benjamin Hayden, University of Rochester, Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, Rochester, NY 14621. E-mail: benhayden@gmail.com
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Abstract

In the 1990s, seminal work from Newsome and colleagues made it possible to study the neuronal mechanisms of simple perceptual decisions. The key strength of this work was the clear and direct link between neuronal activity and choice processes. Since then, a great deal of research has extended these initial discoveries to more complex forms of decision making, with the goal of bringing the same strength of linkage between neural and psychological processes. Here, we discuss the progress of two such research programs, namely our own, that are aimed at understanding memory-guided decisions and reward-guided decisions. These problems differ in the relevant brain areas, in the progress that has been achieved, and in the extent of broader understanding achieved so far. However, they are unified by the use of theoretical insights about how to link neuronal activity to decisions.

Keywords

Working memoryDecision makingChoice probabilityRewardPrefrontal cortex

Information

Type
Linking performance and neural mechanisms in adults
Information
Visual Neuroscience , Volume 30 , Special Issue 5-6: Linking Hypotheses in Visual Neuroscience: A Tribute to Davida Teller , November 2013 , pp. 331 - 342
Copyright
Copyright © Cambridge University Press 2013 

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