Adaptive neural models of queuing and timing in fluent action

Trends in Cognitive Sciences
Daniel Bullock

Abstract

In biological cognition, specialized representations and associated control processes solve the temporal problems inherent in skilled action. Recent data and neural circuit models highlight three distinct levels of temporal structure: sequence preparation, velocity scaling, and state-sensitive timing. Short sequences of actions are prepared collectively in prefrontal cortex, then queued for performance by a cyclic competitive process that operates on a parallel analog representation. Successful acts like ball-catching depend on coordinated scaling of effector velocities, and velocity scaling, mediated by the basal ganglia, may be coupled to perceived time-to-contact. Making acts accurate at high speeds requires state-sensitive and precisely timed activations of muscle forces in patterns that accelerate and decelerate the effectors. The cerebellum may provide a maximally efficient representational basis for learning to generate such timed activation patterns.

Citations

Aug 26, 2011·Cognitive, Affective & Behavioral Neuroscience·Dražen Domijan
Feb 20, 2009·Cerebral Cortex·Karin SchonChantal E Stern
Apr 10, 2009·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Emilio Salinas
Jul 9, 2009·Journal of Cognitive Neuroscience·Jason W BohlandFrank H Guenther
Apr 2, 2010·Cerebral Cortex·Ingo G MeisterMark Hallett
Oct 16, 2013·Neural Networks : the Official Journal of the International Neural Network Society·Magnus Jändel
Dec 8, 2009·Experimental Brain Research·Blake Cameron Wesley Martin, Denise Y P Henriques
Jul 26, 2015·Neuroscience and Biobehavioral Reviews·Oren Kolodny, Shimon Edelman
Sep 25, 2012·Journal of Phonetics·Sam Tilsen, Louis Goldstein
May 4, 2010·Human Movement Science·Peter D Neilson, Megan D Neilson
Apr 10, 2010·Cognition·Simon Fischer-BaumBrenda Rapp
Jan 19, 2010·Neural Networks : the Official Journal of the International Neural Network Society·Tobias Larsen, Rafal Bogacz
Jul 14, 2009·Neural Networks : the Official Journal of the International Neural Network Society·Daniel BullockYohan J John
Sep 2, 2010·Developmental Medicine and Child Neurology·Chris VisscherEsther Hartman
Nov 24, 2004·Trends in Cognitive Sciences·Katsuyuki SakaiKae Nakamura
Oct 11, 2005·Trends in Cognitive Sciences·Neil Burgess, Graham Hitch
Aug 20, 2014·Current Biology : CB·William B Kristan
Oct 6, 2016·International Journal of Speech-language Pathology·Edwin Maas
Jul 15, 2005·Journal of Neurophysiology·Yigal AgamRobert Sekuler
Jun 3, 2009·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Marc Wittmann
Feb 15, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Oren Kolodny, Shimon Edelman
Nov 13, 2019·Monographs of the Society for Research in Child Development·Maggie McGonigle-Chalmers, Iain Kusel
May 21, 2020·ELife·Shreesh P Mysore, Ninad B Kothari
Oct 17, 2019·Frontiers in Psychology·Sam Tilsen
May 23, 2019·Annals of the New York Academy of Sciences·Sam Tilsen
Dec 24, 2020·Trends in Cognitive Sciences·Jonathan J Cannon, Aniruddh D Patel
Mar 4, 2021·Journal of Neurophysiology·Myrto MantziaraKatja Kornysheva

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