Excitability heterogeneity, in combination with inter-node synaptic coupling, collectively achieves Lyapunov stability against external stimulation at the macro-scale.

<p>Sub-figure (a) shows how the stability of a homogeneous and heterogeneous network changes with . The heterogeneous network maintains stability irrespective of the coupling between the two regions. The results are for mV. Sub-figure (b) shows that a homogeneous network becomes unstable even...

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主要作者:	Kalana G. Abeywardena (21799763) (author)
其他作者:	Jeremie Lefebvre (9899117) (author), Taufik A. Valiante (7853738) (author), Stark C. Draper (21799766) (author)
出版:	2025
主題:	Biophysics Medicine Neuroscience Infectious Diseases Biological Sciences not elsewhere classified Physical Sciences not elsewhere classified xlink "> experimental system &# 8217 numerical results show neural mass model e ., electroencephalography network &# 8217 representing brain activity scale brain networks reducing amplitude variations brain region dynamics scale computational model coarser spatial scale intrinsic excitability heterogeneity scale activity brain affects spatial resolution coarser scales computational models network resilience synaptic heterogeneity synaptic coupling stable states multiple equilibria magnetoencephalography ). level investigations less effective interacting excitatory inhibitory sub individual neurons external stimulations external inputs excitability heterogeneity clinical tools
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Excitability heterogeneity, in combination with inter-node synaptic coupling, collectively achieves Lyapunov stability against external stimulation at the macro-scale.

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