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Updated: May 26, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
Published on: September 10, 2018
Contrasting reward signals in the orbitofrontal cortex and anterior cingulate cortex
Jonathan D Wallis1, Steven W Kennerley
1Department of Psychology and Helen Wills Neuroscience Institute, University of California at Berkeley, Berkeley, CA 94720, USA. wallis@berkeley.edu
Damage to the orbitofrontal cortex (OFC) and anterior cingulate cortex (ACC) impairs decision-making. ACC neurons integrate multiple values for unified encoding and reward prediction errors, while OFC neurons evaluate choices against recent history.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Decision Science
Background:
- Damage to the orbitofrontal cortex (OFC) and anterior cingulate cortex (ACC) is known to impair decision-making.
- The specific neural computations underlying these decision-making deficits are not fully understood.
- Both OFC and ACC are implicated in encoding various signals relevant to decision-making.
Purpose of the Study:
- To elucidate the distinct roles of the OFC and ACC in value computation during decision-making.
- To differentiate the neural mechanisms by which these two brain regions support decision processes.
Main Methods:
- Review of experimental findings investigating neuronal activity in OFC and ACC.
- Analysis of how different neuronal populations encode value across various decision parameters.
Main Results:
- A subset of ACC neurons exhibits multiplexed value information across parameters using a unified scheme and encodes reward prediction errors.
- OFC neurons, unlike ACC neurons, encode choice value relative to the recent history of choice values.
- Distinct valuation processes are suggested, with OFC evaluating current choices contextually and ACC encoding predictions and errors.
Conclusions:
- OFC and ACC employ complementary valuation strategies for decision-making.
- ACC neurons utilize a unified valuation currency integrating multiple parameters for predictions and error signaling.
- OFC neurons provide dynamic valuation based on recent choice history.
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