A dynamical network approach to uncovering hidden causality relationships in collective neuron firings

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dc.creatorRuszczycki, Błażej
dc.creatorZhao, Zhenyuan
dc.creatorJohnson, Neil F.
dc.date2009-05-19
dc.date.accessioned2026-07-07T13:16:27Z
dc.date.available2026-07-07T13:16:27Z
dc.descriptionWe analyze the synchronous firings of the salamander ganglion cells from the perspective of the complex network viewpoint where the network's links reflect the correlated behavior of firings. We study the time-aggregated properties of the resulting network focusing on its topological features. The behavior of pairwise correlations has been inspected in order to construct an appropriate measure that will serve as a weight of network connection.
dc.identifierhttps://arxiv.org/abs/0905.3061
dc.identifierhttp://arxiv.org/abs/0905.3061
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/230794
dc.subjectBiological Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleA dynamical network approach to uncovering hidden causality relationships in collective neuron firings
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