Growing Critical: Self-Organized Criticality in a Developing Neural System
Neurons and Cognition
2018-11-08 v1 Disordered Systems and Neural Networks
Adaptation and Self-Organizing Systems
Abstract
Experiments in various neural systems found avalanches: bursts of activity with characteristics typical for critical dynamics. A possible explanation for their occurrence is an underlying network that self-organizes into a critical state. We propose a simple spiking model for developing neural networks, showing how these may "grow into" criticality. Avalanches generated by our model correspond to clusters of widely applied Hawkes processes. We analytically derive the cluster size and duration distributions and find that they agree with those of experimentally observed neuronal avalanches.
Cite
@article{arxiv.1811.02861,
title = {Growing Critical: Self-Organized Criticality in a Developing Neural System},
author = {Felipe Yaroslav Kalle Kossio and Sven Goedeke and Benjamin van den Akker and Borja Ibarz and Raoul-Martin Memmesheimer},
journal= {arXiv preprint arXiv:1811.02861},
year = {2018}
}
Comments
6 pages, 4 figures, supplemental material: 10 pages, 7 figures