By the same authors

Unconventional arithmetic: A system for computation using action potentials

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published copy (DOI)

Author(s)

Department/unit(s)

Publication details

Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DatePublished - 1 Jan 2014
Pages155-163
Number of pages9
PublisherSpringer-Verlag
Volume8553 LNCS
Original languageEnglish
ISBN (Print)9783319081229

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8553 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

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.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations