title: Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.
abstract: Despite the current debate about the computational role of experimentally observed precise spike patterns it is still theoretically unclear under which conditions and how they may emerge in neural circuits. Here, we study spiking neural networks with non-additive dendritic interactions that were recently uncovered in single-neuron experiments. We show that supra-additive dendritic interactions enable the persistent propagation of synchronous activity already in purely random networks without superimposed structures and explain the mechanism underlying it. This study adds a novel perspective on the dynamics of networks with nonlinear interactions in general and presents a new viable mechanism for the occurrence of patterns of precisely timed spikes in recurrent networks.
authors.affiliation: Department for Neuroinformatics, Radboud University Nijmegen, Nijmegen, Netherlands. r.memmesheimer@science.ru.nl
authors.forename: Raoul-Martin
authors.initials: RM
authors.lastname: Memmesheimer
authors.forename: Marc
authors.initials: M
authors.lastname: Timme
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*