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Representational spaces in orbitofrontal and ventromedial prefrontal cortex: task states, values, and beyond

Psychology

Representational spaces in orbitofrontal and ventromedial prefrontal cortex: task states, values, and beyond

N. Moneta, S. Grossman, et al.

The orbitofrontal cortex (OFC) and ventromedial prefrontal cortex (vmPFC) not only encode expected value but also task states by integrating stimulus, context, and outcome information—forming complex, mixed‑selectivity representations akin to late layers in deep reinforcement‑learning models. This research was conducted by Nir Moneta, Shany Grossman, and Nicolas W. Schuck.

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~3 min • Beginner • English
Abstract
The orbitofrontal cortex (OFC) and ventromedial-prefrontal cortex (vmPFC) play a key role in decision-making and encode task states in addition to expected value. We review evidence suggesting a connection between value and state representations and argue that OFC/vmPFC integrate stimulus, context, and outcome information. Comparable encoding principles emerge in late layers of deep reinforcement learning (RL) models, where single nodes exhibit mixed selectivity, enabling flexible readout of relevant variables by downstream neurons. Based on these lines of evidence, we suggest that outcome-maximization leads to complex representational spaces that are insufficiently characterized by linear value signals that have been the focus of most prior research. Major outstanding questions concern the role of OFC/vmPFC in learning across tasks, in encoding task-irrelevant aspects, and the role of hippocampus–PFC interactions.
Publisher
Trends in Neurosciences
Published On
Authors
Nir Moneta, Shany Grossman, Nicolas W. Schuck
Tags
Orbitofrontal cortex (OFC)
Ventromedial prefrontal cortex (vmPFC)
State representations
Value encoding
Mixed selectivity
Deep reinforcement learning
Hippocampus–PFC interactions
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