Neural control on multiple time scales: Insights from human stick balancing
The time-delayed feedback control mechanisms of the nervous system are continuously subjected to the effects of uncontrolled random perturbations (herein referred to as noise). In this setting the statistical properties of the fluctuations in the controlled variable(s) can provide non-invasive ins...
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| Дата: | 2006 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут фізики конденсованих систем НАН України
2006
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| Назва видання: | Condensed Matter Physics |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/121324 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Neural control on multiple time scales: Insights from human stick balancing / J.L. Cabrera, C. Luciani, J. Milton // Condensed Matter Physics. — 2006. — Т. 9, № 2(46). — С. 373–383. — Бібліогр.: 42 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
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irk-123456789-1213242017-06-15T03:03:10Z Neural control on multiple time scales: Insights from human stick balancing Cabrera, J.L. Luciani, C. Milton, J. The time-delayed feedback control mechanisms of the nervous system are continuously subjected to the effects of uncontrolled random perturbations (herein referred to as noise). In this setting the statistical properties of the fluctuations in the controlled variable(s) can provide non-invasive insights into the nature of the underlying control mechanisms. We illustrate this concept through a study of stick balancing at the fingertip using high speed motion capture techniques. Experimental observations together with numerical studies of a stochastic delay differential equation demonstrate that on time scales short compared to the neural time delay (“fast control”), parametric noise provides a non-predictive mechanism that transiently stabilizes the upright position of the balanced stick. Moreover, numerical simulations of a delayed random walker with a repulsive origin indicate that even an unstable fixed point can be transiently stabilized by the interplay between noise and time delay. In contrast, on time scales comparable to the neural time delay (“slow control”), feedback and feedforward control mechanisms become more important. The relative contribution of the fast and slow control mechanisms to stick balancing is dynamic and, for example, depends on the context in which stick balancing is performed and the expertise of the balancer. 2006 Article Neural control on multiple time scales: Insights from human stick balancing / J.L. Cabrera, C. Luciani, J. Milton // Condensed Matter Physics. — 2006. — Т. 9, № 2(46). — С. 373–383. — Бібліогр.: 42 назв. — англ. 1607-324X PACS: 89.75.-k, 87.19.St, 02.30.Ks, 05.45.-a, 02.50.-r DOI:10.5488/CMP.9.2.373 http://dspace.nbuv.gov.ua/handle/123456789/121324 en Condensed Matter Physics Інститут фізики конденсованих систем НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| description |
The time-delayed feedback control mechanisms of the nervous system are continuously subjected to the
effects of uncontrolled random perturbations (herein referred to as noise). In this setting the statistical properties
of the fluctuations in the controlled variable(s) can provide non-invasive insights into the nature of the
underlying control mechanisms. We illustrate this concept through a study of stick balancing at the fingertip
using high speed motion capture techniques. Experimental observations together with numerical studies of a
stochastic delay differential equation demonstrate that on time scales short compared to the neural time delay
(“fast control”), parametric noise provides a non-predictive mechanism that transiently stabilizes the upright
position of the balanced stick. Moreover, numerical simulations of a delayed random walker with a repulsive
origin indicate that even an unstable fixed point can be transiently stabilized by the interplay between noise
and time delay. In contrast, on time scales comparable to the neural time delay (“slow control”), feedback and
feedforward control mechanisms become more important. The relative contribution of the fast and slow control
mechanisms to stick balancing is dynamic and, for example, depends on the context in which stick balancing
is performed and the expertise of the balancer. |
| format |
Article |
| author |
Cabrera, J.L. Luciani, C. Milton, J. |
| spellingShingle |
Cabrera, J.L. Luciani, C. Milton, J. Neural control on multiple time scales: Insights from human stick balancing Condensed Matter Physics |
| author_facet |
Cabrera, J.L. Luciani, C. Milton, J. |
| author_sort |
Cabrera, J.L. |
| title |
Neural control on multiple time scales: Insights from human stick balancing |
| title_short |
Neural control on multiple time scales: Insights from human stick balancing |
| title_full |
Neural control on multiple time scales: Insights from human stick balancing |
| title_fullStr |
Neural control on multiple time scales: Insights from human stick balancing |
| title_full_unstemmed |
Neural control on multiple time scales: Insights from human stick balancing |
| title_sort |
neural control on multiple time scales: insights from human stick balancing |
| publisher |
Інститут фізики конденсованих систем НАН України |
| publishDate |
2006 |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/121324 |
| citation_txt |
Neural control on multiple time scales: Insights from human stick balancing / J.L. Cabrera, C. Luciani, J. Milton // Condensed Matter Physics. — 2006. — Т. 9, № 2(46). — С. 373–383. — Бібліогр.: 42 назв. — англ. |
| series |
Condensed Matter Physics |
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AT cabrerajl neuralcontrolonmultipletimescalesinsightsfromhumanstickbalancing AT lucianic neuralcontrolonmultipletimescalesinsightsfromhumanstickbalancing AT miltonj neuralcontrolonmultipletimescalesinsightsfromhumanstickbalancing |
| first_indexed |
2023-10-18T20:39:10Z |
| last_indexed |
2023-10-18T20:39:10Z |
| _version_ |
1796150760417787904 |