Study of a New Neuron

S. L. Adler; G. V. Bhanot; J. D. Weckel

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arXiv · adap-org/9406001

Study of a New Neuron

S. L. Adler·G. V. Bhanot·J. D. Weckel

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Abstract

We study a modular neuron alternative to the McCulloch-Pitts neuron that arises naturally in analog devices in which the neuron inputs are represented as coherent oscillatory wave signals. Although the modular neuron can compute $XOR$ at the one neuron level, it is still characterized by the same Vapnik-Chervonenkis dimension as the standard neuron. We give the formulas needed for constructing networks using the new neuron and training them using back-propagation. A numerical study of the modular neuron on two data sets is presented, which demonstrates that the new neuron performs at least as well as the standard neuron.

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S. L. Adler, G. V. Bhanot, J. D. Weckel. 1994-06-20. Study of a New Neuron. https://arxiv.org/abs/adap-org/9406001

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