Guiding synchrony through random networks
Neurons and Cognition
2013-08-16 v1 Disordered Systems and Neural Networks
Biological Physics
Abstract
Sparse random networks contain structures that can be considered as diluted feed-forward networks. Modeling of cortical circuits has shown that feed-forward structures, if strongly pronounced compared to the embedding random network, enable reliable signal transmission by propagating localized (sub-network) synchrony. This assumed prominence, however, is not experimentally observed in local cortical circuits. Here we show that nonlinear dendritic interactions as discovered in recent single neuron experiments, naturally enable guided synchrony propagation already in random recurrent neural networks exhibiting mildly enhanced, biologically plausible sub-structures.
Cite
@article{arxiv.1308.3362,
title = {Guiding synchrony through random networks},
author = {Sven Jahnke and Marc Timme and Raoul-Martin Memmesheimer},
journal= {arXiv preprint arXiv:1308.3362},
year = {2013}
}