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Journal of Theoretical Biology|August 12, 2008
The transition from differential equations to Boolean networks: a case study in simplifying a regulatory network modelMaria Davidich, Stefan BornholdtJournal of the Royal Society, Interface|May 30, 2008
Boolean network models of cellular regulation: prospects and limitationsStefan BornholdtPlos One|January 4, 2014
Predicting pedestrian flow: a methodology and a proof of concept based on real-life dataMaria Davidich, Gerta KösterJournal of Theoretical Biology|February 4, 2019
Ensembles, dynamics, and cell types: Revisiting the statistical mechanics perspective on cellular regulationStefan Bornholdt, Stuart KauffmanPhysical Review Letters|February 28, 2002
Coevolution of quasispecies: B-cell mutation rates maximize viral error catastrophesChristel Kamp, Stefan BornholdtPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 26, 2005
Self-organized critical neural networksStefan Bornholdt, Torsten RöhlJournal of Theoretical Biology|January 6, 2007
Superstability of the yeast cell-cycle dynamics: ensuring causality in the presence of biochemical stochasticityStefan Braunewell, Stefan BornholdtJournal of Theoretical Biology|March 4, 2009
Reliability of regulatory networks and its evolutionStefan Braunewell, Stefan BornholdtPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 7, 2003
Coevolutionary games on networksHolger Ebel, Stefan BornholdtPhysical Review. E|September 11, 2019
Critical excitation-inhibition balance in dense neural networksLorenz Baumgarten, Stefan BornholdtPageof 5