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Frontopolar cortex represents complex features and decision value during choice between environments
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DOI：10.1016/j.celrep.2023.112555.png)
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Abstract
En 中文
Important decisions often involve choosing between complex environments that define future item encoun-ters. Despite its importance for adaptive behavior and distinct computational challenges, decision-making research primarily focuses on item choice, ignoring environment choice altogether. Here we contrast previ-ously studied item choice in ventromedial prefrontal cortex with lateral frontopolar cortex (FPl) linked to envi-ronment choice. Furthermore, we propose a mechanism for how FPl decomposes and represents complex environments during decision making. Specifically, we trained a choice-optimized, brain-naive convolutional neural network (CNN) and compared predicted CNN activation with actual FPl activity. We showed that the high-dimensional FPl activity decomposes environment features to represent the complexity of an environ-ment to make such choice possible. Moreover, FPl functionally connects with posterior cingulate cortex for guiding environment choice. Further probing FPl's computation revealed a parallel processing mechanism in extracting multiple environment features.
Keywords:
ANTERIOR CINGULATE CORTEX
NEURAL MECHANISMS
PREFRONTAL CORTEX
CONNECTIONAL NETWORKS
ORBITOFRONTAL CORTEX
VALUATION SYSTEM
ECONOMIC CHOICE
ROBUST
RISK
OPTIMIZATION
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