dc.creator | Peng, Hong | es |
dc.creator | Wang, Jun | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Riscos Núñez, Agustín | es |
dc.date.accessioned | 2019-03-29T10:02:56Z | |
dc.date.available | 2019-03-29T10:02:56Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Peng, H., Wang, J., Pérez Jiménez, M.d.J. y Riscos Núñez, A. (2019). Dynamic threshold neural P systems. Knowledge-Based Systems, 163 (january 2019), 875-884. | |
dc.identifier.issn | 0950-7051 | es |
dc.identifier.uri | https://hdl.handle.net/11441/84915 | |
dc.description.abstract | Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior
observed experimentally for the cortical neurons in the visual cortex of a cat’s brain, and the intersecting
cortical model is a simplified version of the PCNN model. Membrane computing (MC) is a kind computation
paradigm abstracted from the structure and functioning of biological cells that provide models
working in cell-like mode, neural-like mode and tissue-like mode. Inspired from intersecting cortical
model, this paper proposes a new kind of neural-like P systems, called dynamic threshold neural P systems
(for short, DTNP systems). DTNP systems can be represented as a directed graph, where nodes are dynamic
threshold neurons while arcs denote synaptic connections of these neurons. DTNP systems provide a
kind of parallel computing models, they have two data units (feeding input unit and dynamic threshold
unit) and the neuron firing mechanism is implemented by using a dynamic threshold mechanism. The
Turing universality of DTNP systems as number accepting/generating devices is established. In addition,
an universal DTNP system having 109 neurons for computing functions is constructed. | es |
dc.description.sponsorship | National Natural Science Foundation of China No 61472328 | es |
dc.description.sponsorship | Research Fund of Sichuan Science and Technology Project No. 2018JY0083 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China No. Z2016143 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China No. Z2016148 | es |
dc.description.sponsorship | Research Foundation of the Education Department of Sichuan province No. 17TD0034 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Knowledge-Based Systems, 163 (january 2019), 875-884. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Membrane Computing | es |
dc.subject | P systems | es |
dc.subject | Neural-like P systems | es |
dc.subject | Dynamic threshold neural P systems | es |
dc.subject | Universality | es |
dc.title | Dynamic threshold neural P systems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | 61472328 | es |
dc.relation.projectID | 2018JY0083 | es |
dc.relation.projectID | Z2016143 | es |
dc.relation.projectID | Z2016148 | es |
dc.relation.projectID | 17TD0034 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0950705118305021 | es |
dc.identifier.doi | 10.1016/j.knosys.2018.10.016 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 10 | es |
dc.journaltitle | Knowledge-Based Systems | es |
dc.publication.volumen | 163 | es |
dc.publication.issue | january 2019 | es |
dc.publication.initialPage | 875 | es |
dc.publication.endPage | 884 | es |