Percolation in living neural networks
Neurons and Cognition
2010-07-30 v1 Disordered Systems and Neural Networks
Biological Physics
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 critical exponent is independent of the balance between excitatory and inhibitory neurons and indicates that the degree distribution is gaussian rather than scale free
Cite
@article{arxiv.1007.5022,
title = {Percolation in living neural networks},
author = {Ilan Breskin and Jordi Soriano and Elisha Moses and Tsvi Tlusty},
journal= {arXiv preprint arXiv:1007.5022},
year = {2010}
}
Comments
PACS numbers: 87.18.Sn, 87.19.La, 64.60.Ak http://www.weizmann.ac.il/complex/tlusty/papers/PhysRevLett2006.pdf