Publication: Simulation of temporal stochastic phenomena in electronic and biological systems: a comparative review, examples and synergies
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | Department of Chemical and Biological Engineering | |
dc.contributor.kuauthor | Demir, Alper | |
dc.contributor.kuauthor | Erman, Burak | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Electrical and Electronics Engineering | |
dc.contributor.other | Department of Chemical and Biological Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | 3756 | |
dc.contributor.yokid | 179997 | |
dc.date.accessioned | 2024-11-09T23:11:17Z | |
dc.date.issued | 2013 | |
dc.description.abstract | We concentrate on the temporal stochastic behavior of electronic and biological systems due to mainly intrinsic noise and fluctuation phenomena as opposed to extrinsic crosstalk-like interference or statistical variations in system parameters. We provide an overview of modeling and analysis techniques for noise and fluctuation phenomena in biological systems with comparisons to electronic systems. We present several examples where a synergistic cross-fertilization between the two disciplines seems promising. In particular, we discuss the characterization of conformational fluctuations in proteins, the simulation of stochastic behavior in intracellular processes, and the modeling of noise in biological neurons, neuronal networks, nervous system and the brain. | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsorship | IEEE | |
dc.description.sponsorship | IEEE Council on Electronic Design Automation (CEDA) | |
dc.description.sponsorship | Association for Computing Machinery, Special | |
dc.description.sponsorship | Interest Group on Design Automation (ACM SIGDA) | |
dc.identifier.doi | 10.1109/ICCAD.2013.6691206 | |
dc.identifier.isbn | 9781-4799-1071-7 | |
dc.identifier.issn | 1092-3152 | |
dc.identifier.link | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893369680&doi=10.1109%2fICCAD.2013.6691206&partnerID=40&md5=511029b2464221dd16adebe7847758ea | |
dc.identifier.scopus | 2-s2.0-84893369680 | |
dc.identifier.uri | http://dx.doi.org/10.1109/ICCAD.2013.6691206 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/9616 | |
dc.identifier.wos | 331072100117 | |
dc.keywords | Conformational fluctuations | |
dc.keywords | Electronic systems | |
dc.keywords | Fluctuation phenomena | |
dc.keywords | Intracellular process | |
dc.keywords | Model and analysis | |
dc.keywords | Statistical variations | |
dc.keywords | Stochastic behavior | |
dc.keywords | Stochastic phenomena | |
dc.keywords | Computer aided design | |
dc.keywords | Neurons | |
dc.keywords | Stochastic systems | |
dc.keywords | Biological systems | |
dc.language | English | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.publisher | IEEE Council on Electronic Design Automation (CEDA) | |
dc.publisher | Association for Computing Machinery, Special | |
dc.publisher | Interest Group on Design Automation (ACM SIGDA) | |
dc.source | IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD | |
dc.subject | Computer science | |
dc.subject | Theory methods | |
dc.subject | Engineering | |
dc.subject | Electrical electronic engineering | |
dc.title | Simulation of temporal stochastic phenomena in electronic and biological systems: a comparative review, examples and synergies | |
dc.type | Conference proceeding | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-1927-3960 | |
local.contributor.authorid | 0000-0002-2496-6059 | |
local.contributor.kuauthor | Demir, Alper | |
local.contributor.kuauthor | Erman, Burak | |
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relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 |