Abstract
This paper examines a scheme to perform arithmetic and logic computation using time delays inspired by neuronal Action Potentials. The method is reliant on a simple abstraction which utilises very little logical infrastructure, in fact, the only requirements necessary to carry out computation are a binary channel, a clock, and a rudimentary instruction look-up table.
The conclusions are that the method is viable for all forms of arithmetic and logical computation including comparison, however one practical aspect that hinders a full move to a time delay based architecture is the inability to perform random memory access without waiting for the data to recirculate.
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Edwards, J., O’Keefe, S., Henderson, W.D. (2014). Unconventional Arithmetic: A System for Computation Using Action Potentials. In: Ibarra, O., Kari, L., Kopecki, S. (eds) Unconventional Computation and Natural Computation. UCNC 2014. Lecture Notes in Computer Science(), vol 8553. Springer, Cham. https://doi.org/10.1007/978-3-319-08123-6_13
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DOI: https://doi.org/10.1007/978-3-319-08123-6_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08122-9
Online ISBN: 978-3-319-08123-6
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