Parameters of the Ornstein-Uhlenbeck processes.

<div><p>Olivocerebellar learning is highly adaptable, unfolding over minutes to weeks depending on the task. However, the stabilizing mechanisms of the synaptic dynamics necessary for ongoing learning remain unclear. We constructed a model to examine plasticity dynamics under stochastic...

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Автор:	Elías M. Fernández Santoro (22470299) (author)
Інші автори:	Lennart P.L. Landsmeer (22470302) (author), Said Hamdioui (21739013) (author), Christos Strydis (8270760) (author), Chris I. De Zeeuw (7304621) (author), Aleksandra Badura (252212) (author), Mario Negrello (4451539) (author)
Опубліковано:	2025
Предмети:	Cell Biology Neuroscience Biological Sciences not elsewhere classified Information Systems not elsewhere classified unique molecular profiles frequency band pfs homeostatic bidirectional plasticity examine plasticity dynamics cerebellar nuclei neurons high intrinsic firing downbound modules determine synaptic dynamics necessary downbound cerebellar micromodules io neurons participating synaptic plasticity downbound micromodules io neurons baseline firing downbound zones synaptic weights downbound pcs weeks depending stochastic input stabilizing mechanisms stabilized optimally results indicate relatively low purkinje cell overall strength organized loops inferior olive highly adaptable differential levels different levels
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Parameters of the Ornstein-Uhlenbeck processes.

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