Unconventional arithmetic: A system for computation using action potentials

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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. © 2014 Springer International Publishing Switzerland.

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APA

Edwards, J., O’Keefe, S., & Henderson, W. D. (2014). Unconventional arithmetic: A system for computation using action potentials. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8553 LNCS, pp. 155–163). Springer Verlag. https://doi.org/10.1007/978-3-319-08123-6_13

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