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    Spiking Neural P Systems Simulation and Verification

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    lefticaru_et_al_2020 (307.4Kb)
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    Publication date
    2021-03-27
    Author
    Lefticaru, Raluca
    Gheorghe, Marian
    Konur, Savas
    Niculescu, I.M.
    Adorna, H.N.
    Keyword
    Spiking neural P systems
    Rights
    (c) 2021 IEEE. Full-text reproduced in accordance with the publisher's self-archiving policy.
    Peer-Reviewed
    Yes
    Open Access status
    openAccess
    
    Metadata
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    Abstract
    Spiking 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.
    URI
    http://hdl.handle.net/10454/18683
    Version
    Accepted manuscript
    Citation
    Lefticaru 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.
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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