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Published on: October 1, 2019
Online planning of sequential actions
Jörn Diedrichsen1, Mehrdad Kashefi2, Amin Nazerzadeh3
1Western Institute of Neuroscience, Western University, London, Ontario N6A 3K7, Canada; Department of Computer Science, Western University, London, Ontario N6A 5B7, Canada; Department of Statistical and Actuarial Sciences, Western University, London, Ontario N6A 5B7, Canada.
Abstract:
Natural behavior unfolds as a continuous stream of actions. Because these actions often occur in rapid succession, the brain must prepare multiple future actions while the current action is being executed-a process we refer to as online planning. We review evidence for online planning in unpredictable movement sequences and consider neural implementations that could support parallel execution and multiple planning processes. We then show how this new framework could apply to the learning of specific sequences, improving performance while retaining the ability to modify sequences online. Online planning, therefore, provides a unifying account of how both unpredictable and well-learned sequences are produced, and how training leads to skillful and coordinated performance while retaining behavioral flexibility.
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