Summary of Kuramoto DBS Model Parameters.

<div><p>Stimulation optimization has garnered considerable interest in recent years in order to efficiently parametrize neuromodulation-based therapies. To date, efforts focused on automatically identifying settings from parameter spaces that do not change over time. A limitation of thes...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	John E. Fleming (8533956) (author)
مؤلفون آخرون:	Ines Pont Sanchis (17628238) (author), Oscar Lemmens (17628241) (author), Angus Denison-Smith (17628244) (author), Timothy O. West (12197699) (author), Timothy Denison (3345977) (author), Hayriye Cagnan (7164920) (author)
منشور في:	2023
الموضوعات:	Medicine Genetics Sociology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified varying bayesian optimization treating oscillopathies representative priori knowledge differed parkinson &# 8217 optimal stimulation settings garnered considerable interest forgetting &# 8221 dawn till dusk common movement disorders automatically identifying settings appropriate stimulation setting adaptive bayesian optimization periodic covariance functions optimum parameter set efficiently parametrize neuromodulation time dependent factors periodic slow variations neurostimulation </ p gradual &# 8220 periodic sources parameter spaces neuromodulation therapy track variations observed variations two sources recent years psychiatric conditions novel time lack consideration investigated within invariant techniques essential tremor efforts focused computational model broad framework biological rhythmicity based therapies
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Summary of Kuramoto DBS Model Parameters.

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