Avalanches in self-organized critical neural networks: A minimal model for the neural SOC universality class
M. Rybarsch and S. Bornholdt
PLoS ONE 9(4): e93090 (2014)
DOI: 10.1371/journal.pone.0093090
Self-organized criticality in neural network models
M. Rybarsch and S. Bornholdt
In: Criticality in Neural Systems, E. Niebur, D. Plenz, H. G. Schuster (eds.)
Wiley-VCH (2014), ISBN 978-3-527-41104-7
[arXiv]
Binary threshold networks as a natural null model for biological networks
M. Rybarsch and S. Bornholdt
Phys. Rev. E 86, 026114 (2012)
DOI: 10.1103/PhysRevE.86.026114
[arXiv]
Conference Contributions
Self-organized criticality in adaptive neural network models
Poster, DPG-Frühjahrstagung (Annual Conference of the German Physical Society)
Regensburg, March 10th-15th, 2013
Self-organized critical adaptive networks
Talk, DPG-Frühjahrstagung (Annual Conference of the German Physical Society)
Berlin, March 25th-30th, 2012
Activity-dependent criticality and threshold networks closer to biology
Talk, DPG-Frühjahrstagung (Annual Conference of the German Physical Society)
Dresden, March 13th-18th, 2011
Statistische Physik von Kritizität und Selbstorganisation in Netzwerken
Talk, Doctoral Forum of the German National Academic Foundation
Cologne, December 2nd-5th, 2010
Criticality in models of evolving neural networks
Talk, DPG-Frühjahrstagung (Annual Conference of the German Physical Society)
Regensburg, March 21st-26th, 2010
Detection of modules in Boolean networks
Poster, DPG-Frühjahrstagung (Annual Conference of the German Physical Society)
Berlin, February 25th-29th, 2008