Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/135297
Title: | Percolation in Living Neural Networks |
Author: | Breskin, Ilan Soriano i Fradera, Jordi Moses, Elisha Tlusty, Tsvi |
Keywords: | Física de partícules Experiments Particle physics Experiments |
Issue Date: | 30-Oct-2006 |
Publisher: | American Physical Society |
Abstract: | We study living neural networks by measuring the neurons' response to a global electrical stimulation. Neural connectivity is lowered by reducing the synaptic strength, chemically blocking neurotransmitter receptors. We use a graph-theoretic approach to show that the connectivity undergoes a percolation transition. This occurs as the giant component disintegrates, characterized by a power law with an exponent β ≃ 0.65 . β is independent of the balance between excitatory and inhibitory neurons and indicates that the degree distribution is Gaussian rather than scale free. |
Note: | Reproducció del document publicat a: https://doi.org/10.1103/PhysRevLett.97.188102 |
It is part of: | Physical Review Letters, 2006, vol. 97, num. 18, p. 188102 |
URI: | http://hdl.handle.net/2445/135297 |
Related resource: | https://doi.org/10.1103/PhysRevLett.97.188102 |
ISSN: | 0031-9007 |
Appears in Collections: | Articles publicats en revistes (Física de la Matèria Condensada) |
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