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- W1993779166 abstract "We study computability of real-valued functions and the information needed for simulation of dynamical systems. In particular, we describe application of Kolmogorov complexity theory to computer simulation of irrational rotations in a single neuron model. We deduce the information needed for a parameter in simulating the dynamics by showing a difference in Kolmogorov complexity between a computable parameter and a non-computable parameter. Finally, we show that all trajectories generated by irrational rotations are non-computable iff its parameter is non-computable." @default.
- W1993779166 created "2016-06-24" @default.
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- W1993779166 date "2003-04-01" @default.
- W1993779166 modified "2023-10-02" @default.
- W1993779166 title "Algorithmic analysis of irrational rotations in a single neuron model" @default.
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- W1993779166 doi "https://doi.org/10.1016/s0885-064x(02)00017-1" @default.
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