On the computational power of neural nets
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Computability with low-dimensional dynamical systems
Theoretical Computer Science
Computable analysis: an introduction
Computable analysis: an introduction
Computation: finite and infinite machines
Computation: finite and infinite machines
Parallel and Sequential Optical Computing
OSC '08 Proceedings of the 1st international workshop on Optical SuperComputing
Optical computing and computational complexity
UC'06 Proceedings of the 5th international conference on Unconventional Computation
Lower bounds on the computational power of an optical model of computation
UC'05 Proceedings of the 4th international conference on Unconventional Computation
Upper bounds on the computational power of an optical model of computation
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
Complexity of continuous space machine operations
CiE'05 Proceedings of the First international conference on Computability in Europe: new Computational Paradigms
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We introduce a continuous-space model of computation. This original model is inspired by the theory of Fourier optics. We show a lower bound on the computational power of this model by Type-2 machine simulation. The limit on computational power of our model is nontrivial. We define a problem solvable with our model that is not Type-2 computable. The theory of optics does not preclude a physical implementation of our model.