Title:
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Percolation in Living Neural Networks
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Author:
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Breskin, Ilan; Soriano i Fradera, Jordi; Moses, Elisha; Tlusty, Tsvi
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Other authors:
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Universitat de Barcelona |
Abstract:
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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. |
Subject(s):
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-Física de partícules -Experiments -Particle physics -Experiments |
Rights:
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(c) American Physical Society, 2006
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Document type:
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Article Article - Published version |
Published by:
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American Physical Society
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