Literature DB >> 20674054

The BUMP model of response planning: intermittent predictive control accounts for 10 Hz physiological tremor.

Robin T Bye1, Peter D Neilson.   

Abstract

Physiological tremor during movement is characterized by ∼10 Hz oscillation observed both in the electromyogram activity and in the velocity profile. We propose that this particular rhythm occurs as the direct consequence of a movement response planning system that acts as an intermittent predictive controller operating at discrete intervals of ∼100 ms. The BUMP model of response planning describes such a system. It forms the kernel of Adaptive Model Theory which defines, in computational terms, a basic unit of motor production or BUMP. Each BUMP consists of three processes: (1) analyzing sensory information, (2) planning a desired optimal response, and (3) execution of that response. These processes operate in parallel across successive sequential BUMPs. The response planning process requires a discrete-time interval in which to generate a minimum acceleration trajectory to connect the actual response with the predicted future state of the target and compensate for executional error. We have shown previously that a response planning time of 100 ms accounts for the intermittency observed experimentally in visual tracking studies and for the psychological refractory period observed in double stimulation reaction time studies. We have also shown that simulations of aimed movement, using this same planning interval, reproduce experimentally observed speed-accuracy tradeoffs and movement velocity profiles. Here we show, by means of a simulation study of constant velocity tracking movements, that employing a 100 ms planning interval closely reproduces the measurement discontinuities and power spectra of electromyograms, joint-angles, and angular velocities of physiological tremor reported experimentally. We conclude that intermittent predictive control through sequential operation of BUMPs is a fundamental mechanism of 10 Hz physiological tremor in movement.
Copyright © 2010 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20674054     DOI: 10.1016/j.humov.2010.01.006

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  15 in total

1.  Shaking when stirred: mechanisms of physiological tremor.

Authors:  Rob Herbert
Journal:  J Physiol       Date:  2012-06-01       Impact factor: 5.182

2.  Two-phase model of the basal ganglia: implications for discontinuous control of the motor system.

Authors:  John Lisman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-11-05       Impact factor: 6.237

3.  A Riemannian Geometry Theory of Three-Dimensional Binocular Visual Perception.

Authors:  Peter D Neilson; Megan D Neilson; Robin T Bye
Journal:  Vision (Basel)       Date:  2018-12-05

4.  Identification of intermittent control in man and machine.

Authors:  Ian D Loram; Cornelis van de Kamp; Henrik Gollee; Peter J Gawthrop
Journal:  J R Soc Interface       Date:  2012-04-04       Impact factor: 4.118

5.  A Riemannian Geometry Theory of Synergy Selection for Visually-Guided Movement.

Authors:  Peter D Neilson; Megan D Neilson; Robin T Bye
Journal:  Vision (Basel)       Date:  2021-05-25

6.  The selective influence of rhythmic cortical versus cerebellar transcranial stimulation on human physiological tremor.

Authors:  Arpan R Mehta; John-Stuart Brittain; Peter Brown
Journal:  J Neurosci       Date:  2014-05-28       Impact factor: 6.167

7.  Upper limb position control in fibromyalgia.

Authors:  Ellen Marie Bardal; Karin Roeleveld; Tonje Okkenhaug Johansen; Paul Jarle Mork
Journal:  BMC Musculoskelet Disord       Date:  2012-09-24       Impact factor: 2.362

8.  The minimum transition hypothesis for intermittent hierarchical motor control.

Authors:  Amir Karniel
Journal:  Front Comput Neurosci       Date:  2013-02-28       Impact factor: 2.380

9.  Refractoriness in sustained visuo-manual control: is the refractory duration intrinsic or does it depend on external system properties?

Authors:  Cornelis van de Kamp; Peter J Gawthrop; Henrik Gollee; Ian D Loram
Journal:  PLoS Comput Biol       Date:  2013-01-03       Impact factor: 4.475

10.  Interfacing sensory input with motor output: does the control architecture converge to a serial process along a single channel?

Authors:  Cornelis van de Kamp; Peter J Gawthrop; Henrik Gollee; Martin Lakie; Ian D Loram
Journal:  Front Comput Neurosci       Date:  2013-05-09       Impact factor: 2.380

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.