Literature DB >> 30133376

Long-latency reflexes for inter-effector coordination reflect a continuous state feedback controller.

Frederic Crevecoeur1,2, Isaac Kurtzer3.   

Abstract

Successful performance in many everyday tasks requires compensating unexpected mechanical disturbance to our limbs and body. The long-latency reflex plays an important role in this process because it is the fastest response to integrate sensory information across several effectors, like when linking the elbow and shoulder or the arm and body. Despite the dozens of studies on inter-effector long-latency reflexes, there has not been a comprehensive treatment of how these reveal the basic control organization that sets constraints on any candidate model of neural feedback control such as optimal feedback control. We considered three contrasting ways that controllers can be organized: multiple independent controllers vs. a multiple-input multiple-output (MIMO) controller, a continuous feedback controller vs. an intermittent feedback controller, and a direct MIMO controller vs. a state feedback controller. Following a primer on control theory and review of the relevant evidence, we conclude that continuous state feedback control best describes the organization of inter-effector coordination by the long-latency reflex.

Keywords:  feedback; heteronymous reflex; optimal feedback control

Mesh:

Year:  2018        PMID: 30133376     DOI: 10.1152/jn.00205.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  13 in total

1.  Robust Control in Human Reaching Movements: A Model-Free Strategy to Compensate for Unpredictable Disturbances.

Authors:  Frédéric Crevecoeur; Stephen H Scott; Tyler Cluff
Journal:  J Neurosci       Date:  2019-09-05       Impact factor: 6.167

Review 2.  Do sensorimotor perturbations to standing balance elicit an error-related negativity?

Authors:  Aiden M Payne; Lena H Ting; Greg Hajcak
Journal:  Psychophysiology       Date:  2019-03-01       Impact factor: 4.016

3.  Balance perturbation-evoked cortical N1 responses are larger when stepping and not influenced by motor planning.

Authors:  Aiden M Payne; Lena H Ting
Journal:  J Neurophysiol       Date:  2020-10-14       Impact factor: 2.714

4.  Principal Components Analysis Using Data Collected From Healthy Individuals on Two Robotic Assessment Platforms Yields Similar Behavioral Patterns.

Authors:  Michael D Wood; Leif E R Simmatis; Jill A Jacobson; Sean P Dukelow; J Gordon Boyd; Stephen H Scott
Journal:  Front Hum Neurosci       Date:  2021-05-06       Impact factor: 3.169

5.  Feedback Adaptation to Unpredictable Force Fields in 250 ms.

Authors:  Frédéric Crevecoeur; James Mathew; Marie Bastin; Philippe Lefèvre
Journal:  eNeuro       Date:  2020-04-29

6.  Rapid Changes in Movement Representations during Human Reaching Could Be Preserved in Memory for at Least 850 ms.

Authors:  James Mathew; Philippe Lefevre; Frederic Crevecoeur
Journal:  eNeuro       Date:  2020-12-02

Review 7.  Adaptive Feedback Control in Human Reaching Adaptation to Force Fields.

Authors:  James Mathew; Frédéric Crevecoeur
Journal:  Front Hum Neurosci       Date:  2021-12-27       Impact factor: 3.169

8.  Rotational dynamics in motor cortex are consistent with a feedback controller.

Authors:  Hari Teja Kalidindi; Kevin P Cross; Timothy P Lillicrap; Mohsen Omrani; Egidio Falotico; Philip N Sabes; Stephen H Scott
Journal:  Elife       Date:  2021-11-03       Impact factor: 8.140

Review 9.  Efference copy in kinesthetic perception: a copy of what is it?

Authors:  Mark L Latash
Journal:  J Neurophysiol       Date:  2021-02-10       Impact factor: 2.714

10.  A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching.

Authors:  Frédéric Crevecoeur; Jean-Louis Thonnard; Philippe Lefèvre
Journal:  eNeuro       Date:  2020-02-05
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