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Abandoning and modifying one action plan for alternatives
Author(s) -
JooHyun Song
Publication year - 2017
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2016.0195
Subject(s) - action (physics) , perception , computer science , cognition , action selection , object (grammar) , cognitive psychology , salient , selection (genetic algorithm) , cognitive science , plan (archaeology) , focus (optics) , psychology , human–computer interaction , artificial intelligence , neuroscience , physics , archaeology , quantum mechanics , optics , history
Visual scenes are often complex and crowded with many different objects. To interact effectively, we must choose one object at a time as a goal for action. Certainexternal cues can act as a stop signal, quickly cancelling an ongoing action. Less recognized areinternal signals. These can come from recent experience, anticipated action outcomes, cognitive states, and when attention is captured by a salient object. These signals elevate one action plan over alternatives and can quickly modify an initial choice. Here, we focus on these internal processes responsible for selecting, abandoning and modifying action plans. We first highlight how the brain resolves competition among multiple action plans. Critical is the existence of parallel motor planning processes, which allow efficient and timely changes. Then, we discuss how the action system interplays with perception, attention and memory processes to bias action selection and suppress or modify erroneous selections. Subsequently, we show how tracking the continuous modification of action trajectories can provide a tool to read out changes in internal cognitive states. Taken together, we shed light on a broader view that sensorimotor networks can continuously modify actions through simultaneous evaluation of alternative activities in concert with widely distributed perceptual and cognitive networks.This article is part of the themed issue ‘Movement suppression: brain mechanisms for stopping and stillness’.

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