Abstract
A new type of neural computation scheme is proposed, in which the numerical values are represented as the number of firing neurons of neural clusters. The scheme is quite classical in the sense that it is essentially based on McCulloch-Pitts model and Hebbian rule, but it is drastically new in the sense that it is free from any symbolism. The computational capability of this neural shceme is extensively discussed.
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Kimura, H., Shimoda, S. (2008). A New Type of Neural Computation. In: Blondel, V.D., Boyd, S.P., Kimura, H. (eds) Recent Advances in Learning and Control. Lecture Notes in Control and Information Sciences, vol 371. Springer, London. https://doi.org/10.1007/978-1-84800-155-8_10
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DOI: https://doi.org/10.1007/978-1-84800-155-8_10
Publisher Name: Springer, London
Print ISBN: 978-1-84800-154-1
Online ISBN: 978-1-84800-155-8
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