Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Invariance of complexity measures for networks with unreliable gates
Journal of the ACM (JACM)
Efficient simulation of finite automata by neural nets
Journal of the ACM (JACM)
Neurocomputing: foundations of research
Lower bounds for the complexity of reliable boolean circuits with noisy gates
SFCS '91 Proceedings of the 32nd annual symposium on Foundations of computer science
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Computability with low-dimensional dynamical systems
Theoretical Computer Science
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
Machine Learning - Special issue on COLT '93
Constructing deterministic finite-state automata in recurrent neural networks
Journal of the ACM (JACM)
Fast sigmoidal networks via spiking neurons
Neural Computation
Polynomial bounds for VC dimension of sigmoidal and general Pfaffian neural networks
Journal of Computer and System Sciences - Special issue: dedicated to the memory of Paris Kanellakis
Vapnik-Chervonenkis dimension of neural networks
The handbook of brain theory and neural networks
On The Computational Power of Probabilistic and Faulty Neural Networks
ICALP '94 Proceedings of the 21st International Colloquium on Automata, Languages and Programming
On some Relations between Dynamical Systems and Transition Systems
ICALP '94 Proceedings of the 21st International Colloquium on Automata, Languages and Programming
Computation: finite and infinite machines
Computation: finite and infinite machines
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Lower bounds for the computational power of networks of spiking neurons
Neural Computation
Complete and partial fault tolerance of feedforward neural nets
IEEE Transactions on Neural Networks
Computing with continuous-time Liapunov systems
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
On the Generalization Ability of Recurrent Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Some Afterthoughts on Hopfield Networks
SOFSEM '99 Proceedings of the 26th Conference on Current Trends in Theory and Practice of Informatics on Theory and Practice of Informatics
Robust Implementaion of Finite Automata by Recurrent RBF Networks
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
MCU '01 Proceedings of the Third International Conference on Machines, Computations, and Universality
Continuous-time symmetric Hopfield nets are computationally universal
Neural Computation
On probabilistic analog automata
Theoretical Computer Science
Cognition and the Power of Continuous Dynamical Systems
Minds and Machines
Spatiotemporal Connectionist Networks: A Taxonomy and Review
Neural Computation
On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets
Neural Computation
Decidability and Universality in Symbolic Dynamical Systems
Fundamenta Informaticae - SPECIAL ISSUE MCU2004
Neural Information Processing
Turing universality in dynamical systems
CiE'06 Proceedings of the Second conference on Computability in Europe: logical Approaches to Computational Barriers
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Computational universality in symbolic dynamical systems
MCU'04 Proceedings of the 4th international conference on Machines, Computations, and Universality
Robust simulations of turing machines with analytic maps and flows
CiE'05 Proceedings of the First international conference on Computability in Europe: new Computational Paradigms
Recurrent networks for structured data - A unifying approach and its properties
Cognitive Systems Research
Decidability and Universality in Symbolic Dynamical Systems
Fundamenta Informaticae - SPECIAL ISSUE MCU2004
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