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A Proposed Circuit Computation in Basal Ganglia: History‐Dependent Gain
Author(s) -
Yttri Eric Allen,
Dudman Joshua Tate
Publication year - 2018
Publication title -
movement disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.352
H-Index - 198
eISSN - 1531-8257
pISSN - 0885-3185
DOI - 10.1002/mds.27321
Subject(s) - basal ganglia , neuroscience , indirect pathway of movement , deep brain stimulation , normative , movement disorders , cognitive science , parkinson's disease , psychology , computer science , cognitive psychology , disease , medicine , political science , central nervous system , pathology , law
In this Scientific Perspectives we first review the recent advances in our understanding of the functional architecture of basal ganglia circuits. Then we argue that these data can best be explained by a model in which basal ganglia act to control the gain of movement kinematics to shape performance based on prior experience, which we refer to as a history‐dependent gain computation. Finally, we discuss how insights from the history‐dependent gain model might translate from the bench to the bedside, primarily the implications for the design of adaptive deep brain stimulation. Thus, we explicate the key empirical and conceptual support for a normative, computational model with substantial explanatory power for the broad role of basal ganglia circuits in health and disease. © 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.