4.5 Article

Post-error Slowing During Instrumental Learning is Shaped by Working Memory-based Choice Strategies

期刊

NEUROSCIENCE
卷 486, 期 -, 页码 37-45

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neuroscience.2021.10.016

关键词

post-error slowing; reinforcement learning; working memory; cognitive control

资金

  1. National Institute of Mental Health [F32 MH119797]

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Post-error slowing (PES) is a phenomenon in human decision-making studies, characterized by an increase in response time for a decision following an error. PES reflects the deployment of executive resources to restore task performance. This study found that PES is influenced by multiple distinct processes, with a significant impact from working memory recruitment.
Post-error slowing (PES) - a relative increase in response time for a decision on trial t given an error on trial t -1 - is a well-known effect in studies of human decision-making. Post-error processing is reflected in neural signatures such as reduced activity in sensorimotor regions and increased activity in medial prefrontal cortex. PES is thought to reflect the deployment of executive resources to get task performance back on track. This provides a general account of PES that cuts across perceptual decision-making, memory, and learning tasks. With respect to PES and learning, things are complicated by the fact that learning often reflects multiple qualitatively different processes with distinct neural correlates. It is unclear if multiple processes shape PES during learning, or if PES reflects a policy for reacting to errors generated by one particular process (e.g., cortico-striatal reinforcement learning). Here we provide behavioral and computational evidence that PES is influenced by the operation of multiple distinct processes. Human subjects learned a simple visuomotor skill (arbitrary visuomotor association learning) under low load conditions more amenable to simple working memory-based strategies, and high load conditions that were putatively more reliant on trial-by-trial reinforcement learning. PES decreased with load, even when the progress of learning (i.e., reinforcement history) was accounted for. This result suggested that PES during learning is influenced by the recruitment of working memory. Indeed, observed PES effects were approximated by a computational model with parallel working memory and reinforcement learning systems that are differentially recruited according to cognitive load.This article is part of a Special Issue entitled: SI: Error Processing. (c) 2021 IBRO. Published by Elsevier Ltd. All rights reserved.

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