Breskin, IlanSoriano i Fradera, JordiMoses, ElishaTlusty, Tsvi2019-06-182019-06-182006-10-300031-9007https://hdl.handle.net/2445/135297We 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.4 p.application/pdfeng(c) American Physical Society, 2006Física de partículesExperimentsParticle physicsExperimentsinfo:eu-repo/semantics/article6011472019-06-18info:eu-repo/semantics/openAccess