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Nonlinear dynamics based digital logic and circuits
We discuss the role and importance of dynamics in the brain and biological neural networks and argue that dynamics is one of the main missing elements in conventional Boolean logic and circuits. We summarize a simple dynamics based computing method, and categorize different techniques that we have i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432664/ https://www.ncbi.nlm.nih.gov/pubmed/26029096 http://dx.doi.org/10.3389/fncom.2015.00049 |
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author | Kia, Behnam Lindner, John. F. Ditto, William L. |
author_facet | Kia, Behnam Lindner, John. F. Ditto, William L. |
author_sort | Kia, Behnam |
collection | PubMed |
description | We discuss the role and importance of dynamics in the brain and biological neural networks and argue that dynamics is one of the main missing elements in conventional Boolean logic and circuits. We summarize a simple dynamics based computing method, and categorize different techniques that we have introduced to realize logic, functionality, and programmability. We discuss the role and importance of coupled dynamics in networks of biological excitable cells, and then review our simple coupled dynamics based method for computing. In this paper, for the first time, we show how dynamics can be used and programmed to implement computation in any given base, including but not limited to base two. |
format | Online Article Text |
id | pubmed-4432664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44326642015-05-29 Nonlinear dynamics based digital logic and circuits Kia, Behnam Lindner, John. F. Ditto, William L. Front Comput Neurosci Neuroscience We discuss the role and importance of dynamics in the brain and biological neural networks and argue that dynamics is one of the main missing elements in conventional Boolean logic and circuits. We summarize a simple dynamics based computing method, and categorize different techniques that we have introduced to realize logic, functionality, and programmability. We discuss the role and importance of coupled dynamics in networks of biological excitable cells, and then review our simple coupled dynamics based method for computing. In this paper, for the first time, we show how dynamics can be used and programmed to implement computation in any given base, including but not limited to base two. Frontiers Media S.A. 2015-05-15 /pmc/articles/PMC4432664/ /pubmed/26029096 http://dx.doi.org/10.3389/fncom.2015.00049 Text en Copyright © 2015 Kia, Lindner and Ditto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kia, Behnam Lindner, John. F. Ditto, William L. Nonlinear dynamics based digital logic and circuits |
title | Nonlinear dynamics based digital logic and circuits |
title_full | Nonlinear dynamics based digital logic and circuits |
title_fullStr | Nonlinear dynamics based digital logic and circuits |
title_full_unstemmed | Nonlinear dynamics based digital logic and circuits |
title_short | Nonlinear dynamics based digital logic and circuits |
title_sort | nonlinear dynamics based digital logic and circuits |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432664/ https://www.ncbi.nlm.nih.gov/pubmed/26029096 http://dx.doi.org/10.3389/fncom.2015.00049 |
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