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Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-95-038

Computing with Truly Asynchronous Threshold Logic Networks

Pekka Orponen
Technical University of Graz
Austria

Abstract
We present simulation mechanisms by which any network of threshold logic units with either symmetric or asymmetric interunit connections (i.e., a symmetric or asymmetric ``Hopfield net'') can be simulated on a network of the same type, but without any a priori constraints on the order of updates of the units. Together with earlier constructions, the results show that the truly asynchronous network model is computationally equivalent to the seemingly more powerful models with either ordered sequential or fully parallel updates.

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