Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function
Due to multiple factors such as fatigue, muscle strengthening, and neural plasticity, the responsiveness of the motor apparatus to neural commands changes over time. To enable precise movements the nervous system must adapt to compensate for these changes. Recent models of motor adaptation derive fr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2012-12-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00096/full |
| _version_ | 1818365124371546112 |
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| author | Mark V Albert Mark V Albert Nicholas eCatz Peter eThier Konrad eKording Konrad eKording |
| author_facet | Mark V Albert Mark V Albert Nicholas eCatz Peter eThier Konrad eKording Konrad eKording |
| author_sort | Mark V Albert |
| collection | DOAJ |
| description | Due to multiple factors such as fatigue, muscle strengthening, and neural plasticity, the responsiveness of the motor apparatus to neural commands changes over time. To enable precise movements the nervous system must adapt to compensate for these changes. Recent models of motor adaptation derive from assumptions about the way the motor apparatus changes. Characterizing these changes is difficult because motor adaptation happens at the same time, masking most of the effects of ongoing changes. Here, we analyze eye movements of monkeys with lesions to the posterior cerebellar vermis that impair adaptation. Their fluctuations better reveal the underlying changes of the motor system over time. When these measured, unadapted changes are used to derive optimal motor adaptation rules the prediction precision significantly improves. Among three models that similarly fit single-day adaptation results, the model that also matches the temporal correlations of the nonadapting saccades most accurately predicts multiple day adaptation. Saccadic gain adaptation is well matched to the natural statistics of fluctuations of the oculomotor plant. |
| first_indexed | 2024-12-13T22:15:16Z |
| format | Article |
| id | doaj.art-a61b3af6b9c9438da0952b31adb07552 |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-13T22:15:16Z |
| publishDate | 2012-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-a61b3af6b9c9438da0952b31adb075522022-12-21T23:29:35ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882012-12-01610.3389/fncom.2012.0009634140Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor functionMark V Albert0Mark V Albert1Nicholas eCatz2Peter eThier3Konrad eKording4Konrad eKording5Rehabilitation Institute of ChicagoNorthwestern UniversityCNRS and University of Aix-MarseilleHertie Institute for Clinical Brain Research, Eberhard Karls Universittät TübingenRehabilitation Institute of ChicagoNorthwestern UniversityDue to multiple factors such as fatigue, muscle strengthening, and neural plasticity, the responsiveness of the motor apparatus to neural commands changes over time. To enable precise movements the nervous system must adapt to compensate for these changes. Recent models of motor adaptation derive from assumptions about the way the motor apparatus changes. Characterizing these changes is difficult because motor adaptation happens at the same time, masking most of the effects of ongoing changes. Here, we analyze eye movements of monkeys with lesions to the posterior cerebellar vermis that impair adaptation. Their fluctuations better reveal the underlying changes of the motor system over time. When these measured, unadapted changes are used to derive optimal motor adaptation rules the prediction precision significantly improves. Among three models that similarly fit single-day adaptation results, the model that also matches the temporal correlations of the nonadapting saccades most accurately predicts multiple day adaptation. Saccadic gain adaptation is well matched to the natural statistics of fluctuations of the oculomotor plant.http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00096/fulloculomotor systemnatural statisticscerebellar vermissaccade adaptationmultiple-timescale adaptation |
| spellingShingle | Mark V Albert Mark V Albert Nicholas eCatz Peter eThier Konrad eKording Konrad eKording Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function Frontiers in Computational Neuroscience oculomotor system natural statistics cerebellar vermis saccade adaptation multiple-timescale adaptation |
| title | Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function |
| title_full | Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function |
| title_fullStr | Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function |
| title_full_unstemmed | Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function |
| title_short | Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function |
| title_sort | saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function |
| topic | oculomotor system natural statistics cerebellar vermis saccade adaptation multiple-timescale adaptation |
| url | http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00096/full |
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