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...

Full description

Saved in:

Bibliographic Details
Main Author:	Elías M. Fernández Santoro (22470299) (author)
Other Authors:	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)
Published:	2025
Subjects:	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
Tags:	Add Tag No Tags, Be the first to tag this record!

Synchrony and Clustering.

Similar Items