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Mária Ercsey-Ravasz

Showing results (1-10 of 19) with videos related to

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Plos One|September 26, 2013
Asymmetric continuous-time neural networks without local traps for solving constraint satisfaction problemsBotond Molnár, Mária Ercsey-Ravasz
Network Neuroscience (Cambridge, Mass.)|October 24, 2025
The exponential distance rule-based network model predicts topology and reveals functionally relevant properties of the <i>Drosophila</i> projectomeBalázs Péntek, Mária Ercsey-Ravasz
Physical Review Letters|September 28, 2010
Centrality scaling in large networksMária Ercsey-Ravasz, Zoltán Toroczkai
Scientific Reports|October 13, 2012
The chaos within SudokuMária Ercsey-Ravasz, Zoltán Toroczkai
Plos One|June 16, 2012
Complexity of the international agro-food trade network and its impact on food safetyMária Ercsey-Ravasz, Zoltán Toroczkai, Zoltán Lakner, et al.
Physical Review. E|June 15, 2016
Order-to-chaos transition in the hardness of random Boolean satisfiability problemsMelinda Varga, Róbert Sumi, Zoltán Toroczkai, et al.
Entropy (Basel, Switzerland)|January 15, 2021
A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition NetworksBulcsú Sándor, Bence Schneider, Zsolt I Lázár, et al.
Scientific Reports|April 6, 2024
Community detection in directed weighted networks using Voronoi partitioningBotond Molnár, Ildikó-Beáta Márton, Szabolcs Horvát, et al.
Scientific Reports|March 17, 2016
Principles of dynamical modularity in biological regulatory networksDávid Deritei, William C Aird, Mária Ercsey-Ravasz, et al.
Nature Communications|November 20, 2018
A continuous-time MaxSAT solver with high analog performanceBotond Molnár, Ferenc Molnár, Melinda Varga, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Plos One|September 26, 2013
Asymmetric continuous-time neural networks without local traps for solving constraint satisfaction problemsBotond Molnár, Mária Ercsey-Ravasz
Network Neuroscience (Cambridge, Mass.)|October 24, 2025
The exponential distance rule-based network model predicts topology and reveals functionally relevant properties of the <i>Drosophila</i> projectomeBalázs Péntek, Mária Ercsey-Ravasz
Physical Review Letters|September 28, 2010
Centrality scaling in large networksMária Ercsey-Ravasz, Zoltán Toroczkai
Scientific Reports|October 13, 2012
The chaos within SudokuMária Ercsey-Ravasz, Zoltán Toroczkai
Plos One|June 16, 2012
Complexity of the international agro-food trade network and its impact on food safetyMária Ercsey-Ravasz, Zoltán Toroczkai, Zoltán Lakner, et al.
Physical Review. E|June 15, 2016
Order-to-chaos transition in the hardness of random Boolean satisfiability problemsMelinda Varga, Róbert Sumi, Zoltán Toroczkai, et al.
Entropy (Basel, Switzerland)|January 15, 2021
A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition NetworksBulcsú Sándor, Bence Schneider, Zsolt I Lázár, et al.
Scientific Reports|April 6, 2024
Community detection in directed weighted networks using Voronoi partitioningBotond Molnár, Ildikó-Beáta Márton, Szabolcs Horvát, et al.
Scientific Reports|March 17, 2016
Principles of dynamical modularity in biological regulatory networksDávid Deritei, William C Aird, Mária Ercsey-Ravasz, et al.
Nature Communications|November 20, 2018
A continuous-time MaxSAT solver with high analog performanceBotond Molnár, Ferenc Molnár, Melinda Varga, et al.
Pageof 2