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Theory in Biosciences = Theorie in Den Biowissenschaften|November 30, 2011
Information-driven self-organization: the dynamical system approach to autonomous robot behaviorNihat Ay, Holger Bernigau, Ralf Der, et al.Plos One|October 2, 2015
Zipf's Law: Balancing Signal Usage Cost and Communication EfficiencyChristoph Salge, Nihat Ay, Daniel Polani, et al.Plos One|June 1, 2013
Information driven self-organization of complex robotic behaviorsGeorg Martius, Ralf Der, Nihat AyNeural Computation|December 19, 2002
Locality of global stochastic interaction in directed acyclic networksNihat AyTheory in Biosciences = Theorie in Den Biowissenschaften|December 2, 2020
Ingredients for robustnessNihat AyNeural Computation|February 9, 2011
Refinements of universal approximation results for deep belief networks and restricted Boltzmann machinesGuido Montufar, Nihat AyTheory in Biosciences = Theorie in Den Biowissenschaften|December 10, 2015
The Umwelt of an embodied agent--a measure-theoretic definitionNihat Ay, Wolfgang LöhrNeural Computation|August 18, 2005
Finite state automata resulting from temporal information maximization and a temporal learning ruleThomas Wennekers, Nihat AyEntropy (Basel, Switzerland)|December 8, 2020
Complexity as Causal Information IntegrationCarlotta Langer, Nihat AyNeural Networks : the Official Journal of the International Neural Network Society|November 19, 2003
Dynamical properties of strongly interacting Markov chainsNihat Ay, Thomas WennekersPageof 10