Emergent stochastic oscillations and signal detection in tree networks of excitable elements.

ABSTRACT: We study the stochastic dynamics of strongly-coupled excitable elements on a tree network. The peripheral nodes receive independent random inputs which may induce large spiking events propagating through the branches of the tree and leading to global coherent oscillations in the network. This scenario may be relevant to action potential generation in certain sensory neurons, which possess myelinated distal dendritic tree-like arbors with excitable nodes of Ranvier at peripheral and branching nodes and exhibit noisy periodic sequences of action potentials. We focus on the spiking statistics of the central node, which fires in response to a noisy input at peripheral nodes. We show that, in the strong coupling regime, relevant to myelinated dendritic trees, the spike train statistics can be p

SUBMITTER: Kromer J 

PROVIDER: S-EPMC5479816 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature