Zobrazeno 1 - 10
of 113
pro vyhledávání: '"David W Franklin"'
Publikováno v:
eLife, Vol 12 (2024)
The force developed by actively lengthened muscle depends on different structures across different scales of lengthening. For small perturbations, the active response of muscle is well captured by a linear-time-invariant (LTI) system: a stiff spring
Externí odkaz:
https://doaj.org/article/142c14f651124b53bb5f5be0df346881
Publikováno v:
PLoS ONE, Vol 18, Iss 12, p e0295274 (2023)
Error based motor learning can be driven by both sensory prediction error and reward prediction error. Learning based on sensory prediction error is termed sensorimotor adaptation, while learning based on reward prediction error is termed reward lear
Externí odkaz:
https://doaj.org/article/8488e98fd2684bcca5456b468469a14a
Publikováno v:
Online Learning, Vol 26, Iss 2 (2022)
The purpose of this study is to examine the effects of nudges on online college students’ use of the Diagnostic Assessment and Achievement of College Skills (DAACS), a suite of free, online assessments, feedback, and resources designed to optimize
Externí odkaz:
https://doaj.org/article/a86262183b9646a298aecfa77fd5ff0e
Contextual cues are not unique for motor learning: Task-dependant switching of feedback controllers.
Autor:
Justinas Česonis, David W Franklin
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010192 (2022)
The separation of distinct motor memories by contextual cues is a well known and well studied phenomenon of feedforward human motor control. However, there is no clear evidence of such context-induced separation in feedback control. Here we test both
Externí odkaz:
https://doaj.org/article/362ecf41d545492ebce73415b9354ac9
Autor:
Marion Forano, David W Franklin
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008373 (2020)
The timescales of adaptation to novel dynamics are well explained by a dual-rate model with slow and fast states. This model can predict interference, savings and spontaneous recovery, but cannot account for adaptation to multiple tasks, as each new
Externí odkaz:
https://doaj.org/article/b2e5ba2fa34b4b909118dfb4f548da61
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0228083 (2020)
In our daily life we often make complex actions comprised of linked movements, such as reaching for a cup of coffee and bringing it to our mouth to drink. Recent work has highlighted the role of such linked movements in the formation of independent m
Externí odkaz:
https://doaj.org/article/6d12a9200d4746c297c987ab6c6b91bb
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 12, p e1005190 (2016)
Movement planning is thought to be primarily determined by motor costs such as inaccuracy and effort. Solving for the optimal plan that minimizes these costs typically leads to specifying a time-varying feedback controller which both generates the mo
Externí odkaz:
https://doaj.org/article/3f7f8357943144878be5e11235c11478
Autor:
Ian S Howard, David W Franklin
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0131268 (2015)
In sports, the role of backswing is considered critical for generating a good shot, even though it plays no direct role in hitting the ball. We recently demonstrated the scientific basis of this phenomenon by showing that immediate past movement affe
Externí odkaz:
https://doaj.org/article/befa8be396864401a4afa773326ab6ee
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0129388 (2015)
When opposing force fields are presented alternately or randomly across trials for identical reaching movements, subjects learn neither force field, a behavior termed 'interference'. Studies have shown that a small difference in the endpoint posture
Externí odkaz:
https://doaj.org/article/3b9bd7a197da4631a371cb92bb5b0e36
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e92681 (2014)
After committing to an action, a decision-maker can change their mind to revise the action. Such changes of mind can even occur when the stream of information that led to the action is curtailed at movement onset. This is explained by the time delays
Externí odkaz:
https://doaj.org/article/12a27eb3ae6c4d508a93a5f2d6b0e430