Modelling and analysing the information processing capabilities of simple biological systems
Biological systems that present basic logic primitives for information processing have already been realized. Models for simulating their dynamics have also been implemented. However there is a lack of metrics that would objectively evaluate the information processing capabilities of these primitiv...
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Vilnius Gediminas Technical University
2012-09-01
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doaj-127135e1f6ac473491510be7af7b7c012021-07-02T12:34:52ZengVilnius Gediminas Technical UniversityMathematical Modelling and Analysis1392-62921648-35102012-09-0117410.3846/13926292.2012.706651Modelling and analysing the information processing capabilities of simple biological systemsMiha Moskon0Miha Mraz1Faculty of Computer and Information Science, University of Ljubljana Tržaška cesta 25, SI-1000, SloveniaFaculty of Computer and Information Science, University of Ljubljana Tržaška cesta 25, SI-1000, Slovenia Biological systems that present basic logic primitives for information processing have already been realized. Models for simulating their dynamics have also been implemented. However there is a lack of metrics that would objectively evaluate the information processing capabilities of these primitives and possibilities of their interconnectivity. With the introduction of such processing and performance descriptive quantities complex biological systems capable of information processing could be built more straightforwardly. That would bring us closer to the realization of a biological computer. https://journals.vgtu.lt/index.php/MMA/article/view/4885models for synthetic biologystochastic modellingchemical master equationmetricsunconventional computing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Miha Moskon Miha Mraz |
spellingShingle |
Miha Moskon Miha Mraz Modelling and analysing the information processing capabilities of simple biological systems Mathematical Modelling and Analysis models for synthetic biology stochastic modelling chemical master equation metrics unconventional computing |
author_facet |
Miha Moskon Miha Mraz |
author_sort |
Miha Moskon |
title |
Modelling and analysing the information processing capabilities of simple biological systems |
title_short |
Modelling and analysing the information processing capabilities of simple biological systems |
title_full |
Modelling and analysing the information processing capabilities of simple biological systems |
title_fullStr |
Modelling and analysing the information processing capabilities of simple biological systems |
title_full_unstemmed |
Modelling and analysing the information processing capabilities of simple biological systems |
title_sort |
modelling and analysing the information processing capabilities of simple biological systems |
publisher |
Vilnius Gediminas Technical University |
series |
Mathematical Modelling and Analysis |
issn |
1392-6292 1648-3510 |
publishDate |
2012-09-01 |
description |
Biological systems that present basic logic primitives for information processing have already been realized. Models for simulating their dynamics have also been implemented. However there is a lack of metrics that would objectively evaluate the information processing capabilities of these primitives and possibilities of their interconnectivity. With the introduction of such processing and performance descriptive quantities complex biological systems capable of information processing could be built more straightforwardly. That would bring us closer to the realization of a biological computer.
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topic |
models for synthetic biology stochastic modelling chemical master equation metrics unconventional computing |
url |
https://journals.vgtu.lt/index.php/MMA/article/view/4885 |
work_keys_str_mv |
AT mihamoskon modellingandanalysingtheinformationprocessingcapabilitiesofsimplebiologicalsystems AT mihamraz modellingandanalysingtheinformationprocessingcapabilitiesofsimplebiologicalsystems |
_version_ |
1721329992767373312 |