Synchrony and Clustering.

<p>In a single micromodule we observe a few clusters in the short time scale whose stability fades exponentially. (A) Kuramoto synchrony metric for STOs is derived from IO Vm in 5 transformation steps. (B) Stability of global oscillator (i.e., usability as a low dimensional global clock): glob...

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主要作者:	Elías M. Fernández Santoro (22470299) (author)
其他作者:	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)
出版:	2025
主題:	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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Synchrony and Clustering.

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