Logical computation with self-assembling electric circuits

Inspired by self-assembled biological growth, the Circuit Tile Assembly Model (cTAM) was developed to provide insights into signal propagation, information processing, and computation in bioelectric networks. The cTAM is an abstract model that produces a family of circuits of different sizes that is...

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Main Authors: Rojoba Yasmin, Russell Deaton
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728908/?tool=EBI
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author Rojoba Yasmin
Russell Deaton
author_facet Rojoba Yasmin
Russell Deaton
author_sort Rojoba Yasmin
collection DOAJ
description Inspired by self-assembled biological growth, the Circuit Tile Assembly Model (cTAM) was developed to provide insights into signal propagation, information processing, and computation in bioelectric networks. The cTAM is an abstract model that produces a family of circuits of different sizes that is amenable to exact analysis. Here, the cTAM is extended to the Boolean Circuit Tile Assembly Model (bcTAM) that implements a computationally complete set of Boolean gates through self-assembled and self-controlled growth. The proposed model approximates axonal growth in neural networks and thus, investigates the computational capability of dynamic biological networks, for example, in growing networks of axons. Thus, the bcTAM models the effect of electrical activity on growth and shows how that growth might implement Boolean computations. In this sense, given a set of input voltages, the bcTAM is a system that is able to monitor and make decisions about its own growth.
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spelling doaj.art-f732719e2d124b6fa49245bc8085663c2022-12-22T03:53:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011712Logical computation with self-assembling electric circuitsRojoba YasminRussell DeatonInspired by self-assembled biological growth, the Circuit Tile Assembly Model (cTAM) was developed to provide insights into signal propagation, information processing, and computation in bioelectric networks. The cTAM is an abstract model that produces a family of circuits of different sizes that is amenable to exact analysis. Here, the cTAM is extended to the Boolean Circuit Tile Assembly Model (bcTAM) that implements a computationally complete set of Boolean gates through self-assembled and self-controlled growth. The proposed model approximates axonal growth in neural networks and thus, investigates the computational capability of dynamic biological networks, for example, in growing networks of axons. Thus, the bcTAM models the effect of electrical activity on growth and shows how that growth might implement Boolean computations. In this sense, given a set of input voltages, the bcTAM is a system that is able to monitor and make decisions about its own growth.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728908/?tool=EBI
spellingShingle Rojoba Yasmin
Russell Deaton
Logical computation with self-assembling electric circuits
PLoS ONE
title Logical computation with self-assembling electric circuits
title_full Logical computation with self-assembling electric circuits
title_fullStr Logical computation with self-assembling electric circuits
title_full_unstemmed Logical computation with self-assembling electric circuits
title_short Logical computation with self-assembling electric circuits
title_sort logical computation with self assembling electric circuits
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728908/?tool=EBI
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