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Updated: Aug 6, 2026

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
Published on: March 31, 2016
Variability-induced transition in a net of neural elements: From oscillatory to excitable behavior
Erik Glatt1, Martin Gassel, Friedemann Kaiser
1Institute of Applied Physics, Darmstadt University of Technology, 64289 Darmstadt, Germany.
Abstract:
Starting with an oscillatory net of neural elements, increasing variability induces a phase transition to excitability. This transition is explained by a systematic effect of the variability, which stabilizes the formerly unstable, spatially uniform, temporally constant solution of the net. Multiplicative noise may also influence the net in a systematic way and may thus induce a similar transition. Adding noise into the model, the interplay of noise and variability with respect to the reported transition is investigated. Finally, pattern formation in a diffusively coupled net is studied, because excitability implies the ability of pattern formation and information transmission.
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