Abstract
Activity pattern modalities of neuronal ensembles are determined by node properties as well as network structure. For many purposes, it is of interest to be able to relate activity patterns to either node properties or to network properties (or to a combination of both). When in physiological neural networks we observe bursting on a coarse-grained time and space scale, a proper decision on whether bursts are the consequence of individual neurons with an inherent bursting property or whether we are dealing with a genuine network effect has generally not been possible because of the noise in these systems. Here, by linking different orders of time and space scales, we provide a simple coarse-grained criterion for deciding this question.
Highlights
Neuronal bursting activity is a ubiquitous physiological state described by a precipitate train of spikes followed by a quiescent period
Networks we observe bursting on a coarse-grained time and space scale, a proper decision on whether bursts are the consequence of individual neurons with an inherent bursting property or whether we are dealing with a genuine network effect has generally not been possible because of the noise in these systems
The phenomenon can be observed on the node or on the network level, and it can be produced by neurons bursting by their own virtue (‘inherent bursting’) or by neurons that individually respond with regular spiking but exhibit a bursting behavior when embedded as a node into a network
Summary
Fabiano A S Ferrari, Ricardo L Viana, Florian Gomez, Tom Lorimer and Ruedi Stoop. Any further distribution of Activity pattern modalities of neuronal ensembles are determined by node properties as well as this work must maintain network structure. It is of interest to be able to relate activity patterns to either attribution to the author(s) and the title of node properties or to network properties (or to a combination of both). Networks we observe bursting on a coarse-grained time and space scale, a proper decision on whether bursts are the consequence of individual neurons with an inherent bursting property or whether we are dealing with a genuine network effect has generally not been possible because of the noise in these systems. By linking different orders of time and space scales, we provide a simple coarse-grained criterion for deciding this question
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