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dc.contributor.authorLeib, R
dc.contributor.authorHoward, IS
dc.contributor.authorMillard, M
dc.contributor.authorFranklin, DW
dc.date.accessioned2024-01-07T17:07:44Z
dc.date.available2024-01-07T17:07:44Z
dc.date.issued2023-12-29
dc.identifier.issn2040-4603
dc.identifier.issn2040-4603
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/21879
dc.description.abstract

The human sensorimotor control system has exceptional abilities to perform skillful actions. We easily switch between strenuous tasks that involve brute force, such as lifting a heavy sewing machine, and delicate movements such as threading a needle in the same machine. Using a structure with different control architectures, the motor system is capable of updating its ability to perform through our daily interaction with the fluctuating environment. However, there are issues that make this a difficult computational problem for the brain to solve. The brain needs to control a nonlinear, nonstationary neuromuscular system, with redundant and occasionally undesired degrees of freedom, in an uncertain environment using a body in which information transmission is subject to delays and noise. To gain insight into the mechanisms of motor control, here we survey movement laws and invariances that shape our everyday motion. We then examine the major solutions to each of these problems in the three parts of the sensorimotor control system, sensing, planning, and acting. We focus on how the sensory system, the control architectures, and the structure and operation of the muscles serve as complementary mechanisms to overcome deviations and disturbances to motor behavior and give rise to skillful motor performance. We conclude with possible future research directions based on suggested links between the operation of the sensorimotor system across the movement stages. © 2024 American Physiological Society. Compr Physiol 14:5179-5224, 2024.

dc.format.extent5179-5224
dc.format.mediumElectronic
dc.languageeng
dc.publisherWiley
dc.subjectHumans
dc.subjectBrain
dc.subjectMovement
dc.titleBehavioral Motor Performance
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/38158372
plymouth.issue1
plymouth.volume14
plymouth.publication-statusPublished online
plymouth.journalComprehensive Physiology
dc.identifier.doi10.1002/cphy.c220032
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering|School of Engineering, Computing and Mathematics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA
plymouth.organisational-group|Plymouth|Users by role
plymouth.organisational-group|Plymouth|Users by role|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA11 Computer Science and Informatics
plymouth.organisational-group|Plymouth|REF 2028 Researchers by UoA
plymouth.organisational-group|Plymouth|REF 2028 Researchers by UoA|UoA11 Computer Science and Informatics
dc.publisher.placeUnited States
dcterms.dateAccepted2023-12-29
dc.date.updated2024-01-07T17:07:43Z
dc.rights.embargodate2024-12-28
dc.identifier.eissn2040-4603
rioxxterms.versionofrecord10.1002/cphy.c220032


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