Show simple item record

dc.contributor.authorLefticaru, Raluca
dc.contributor.authorGheorghe, Marian
dc.contributor.authorKonur, Savas
dc.contributor.authorNiculescu, I.M.
dc.contributor.authorAdorna, H.N.
dc.date.accessioned2021-12-08T21:52:39Z
dc.date.accessioned2021-12-15T10:59:07Z
dc.date.available2021-12-08T21:52:39Z
dc.date.available2021-12-15T10:59:07Z
dc.date.issued2021-03-27
dc.identifier.citationLefticaru R, Gheorghe M, Konur S et al (2020) Spiking Neural P Systems Simulation and Verification. 18th International Conference on High Performance Computing & Simulation (HPCS 2020) 22-27 Mar 2021. Barcelona, Spain.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18683
dc.descriptionYesen_US
dc.description.abstractSpiking Neural (SN) P systems is a particular class of P systems that abstracts and applies ideas from neurobiology. Various aspects, representations and features have been studied extensively, but the tool support for modelling and analysing such systems is relatively limited. In this paper, we present a methodology that maps some classes of SN P systems to the equivalent kernel P system representations, which allows analysing SN P system dynamics using the kPWORKBENCH tool. We illustrate the applicability of our approach in some case studies, including an example system from synthetic biology.en_US
dc.language.isoenen_US
dc.publisherIEEE
dc.rights(c) 2021 IEEE. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectSpiking neural P systemsen_US
dc.titleSpiking Neural P Systems Simulation and Verificationen_US
dc.status.refereedYesen_US
dc.date.Accepted2020-10-13
dc.typeConference paperen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2021-12-08T21:52:40Z
refterms.dateFOA2021-12-15T11:00:00Z
dc.openaccess.statusopenAccessen_US


Item file(s)

Thumbnail
Name:
bicas2020.pdf
Size:
307.4Kb
Format:
PDF
Description:
lefticaru_et_al_2020

This item appears in the following Collection(s)

Show simple item record