Decision Making in Recurrent Neuronal Circuits

Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balance...

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Published inNeuron (Cambridge, Mass.) Vol. 60; no. 2; pp. 215 - 234
Main Author Wang, Xiao-Jing
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 23.10.2008
Elsevier Limited
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Abstract Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.
AbstractList Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.
Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categorical choices but also long transients for gradually accumulating evidence in favor of or against alternative options. Such a circuit endowed with reward-dependent synaptic plasticity is able to produce adaptive choice behavior. While decision threshold is a core concept for reaction time tasks, it can be dissociated from a general decision rule. Moreover, perceptual decisions and value-based economic choices are described within a unified framework in which probabilistic choices result from irregular neuronal activity as well as iterative interactions of a decision maker with an uncertain environment or other unpredictable decision makers in a social group.
Author Wang, Xiao-Jing
AuthorAffiliation 1 Department of Neurobiology and Kavli Institute for Neuroscience, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA
AuthorAffiliation_xml – name: 1 Department of Neurobiology and Kavli Institute for Neuroscience, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA
Author_xml – sequence: 1
  givenname: Xiao-Jing
  surname: Wang
  fullname: Wang, Xiao-Jing
  email: xjwang@yale.edu
  organization: Department of Neurobiology and Kavli Institute for Neuroscience, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/18957215$$D View this record in MEDLINE/PubMed
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Snippet Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the...
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SubjectTerms Animals
Behavior
Brain
Brain - physiology
Competition
Decision making
Decision Making - physiology
Experiments
Humans
Mathematical models
Memory
Models, Statistical
Nerve Net - physiology
Neural Inhibition - physiology
Neural Pathways - physiology
Neuronal Plasticity - physiology
Neurons - physiology
Sensory perception
Synaptic Transmission - physiology
Title Decision Making in Recurrent Neuronal Circuits
URI https://dx.doi.org/10.1016/j.neuron.2008.09.034
https://www.ncbi.nlm.nih.gov/pubmed/18957215
https://www.proquest.com/docview/1503674175
https://www.proquest.com/docview/69728009
https://www.proquest.com/docview/876250622
https://pubmed.ncbi.nlm.nih.gov/PMC2710297
Volume 60
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