Synaptic Weight Generation in VLSI Stochastic Neural Networks. - Neural Networks, 1995. Proceedings., IEEE International Conference on
نویسنده
چکیده
Fully parallel stochastic neural network implementations can be realized nowdays. However, in these implementations most of the silicon area is consumed in the stochastic pulse sequence generation circuits. In order to improve their efficiency in terms of consumed silicon area, new techniques must be developped. This is specially important in applications where a large number of synaptic weights are needed. In this paper we present a new approach that can significantly increase the efficiency osf the
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