ArticlePLoS computational biology2012
Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- High-frequency oscillations and sequence generation in two-population models of hippocampal region CA1.PLoS computational biology · 2022Article
- All neurons can perform linearly non-separable computations.F1000Research · 2021Article
- Learning recurrent dynamics in spiking networks.eLife · 2018Article
- Effects of Calcium Spikes in the Layer 5 Pyramidal Neuron on Coincidence Detection and Activity Propagation.Frontiers in computational neuroscience · 2016Article
- A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Oscillation-induced signal transmission and gating in neural circuits.PLoS computational biology · 2014Article
- Propagating synchrony in feed-forward networks.Frontiers in computational neuroscience · 2013Article
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Authors and funding
2 authors.
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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.
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