dc.creator | Peng, Hong | es |
dc.creator | Li, Bo | es |
dc.creator | Wang, Jun | es |
dc.creator | Song, Xiaoxiao | es |
dc.creator | Wang, Tao | es |
dc.creator | Valencia Cabrera, Luis | es |
dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Riscos Núñez, Agustín | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2021-02-03T08:40:27Z | |
dc.date.available | 2021-02-03T08:40:27Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Peng, H., Li, B., Wang, J., Song, X., Wang, T., Valencia Cabrera, L.,...,Pérez Jiménez, M.d.J. (2020). Spiking neural P systems with inhibitory rules. Knowledge-Based Systems, 188 (january 2020, 105064) | |
dc.identifier.issn | 0950-7051 | es |
dc.identifier.uri | https://hdl.handle.net/11441/104514 | |
dc.description.abstract | Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system
rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems
is proposed, called spiking neural P systems with inhibitory rules (SNP-IR systems). Different from the
usual firing rules in SNP systems, the firing condition of an inhibitory rule not only depends on the state
of the neuron associated with the rule but also is related to the states of other neurons. Moreover, from
the perspective of topological structure, the new variant is shown as a directed graph with inhibitory
arcs, and therefore seems to have more powerful control. The computational completeness of SNPIR
systems is discussed. In particular, it is proved that SNP-IR systems are Turing universal number
accepting/generating devices. Moreover, we obtain a small universal function-computing device for
SNP-IR systems consisting of 100 neurons. | 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 Nos. 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.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Knowledge-Based Systems, 188 (january 2020, 105064) | |
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 | Spiking neural P Systems | es |
dc.subject | Spiking neural P systems with inhibitory rules | es |
dc.subject | Inhibitory synapse | es |
dc.title | Spiking neural P systems with inhibitory rules | 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 | No. 61472328 | es |
dc.relation.projectID | No. 2018JY0083 | es |
dc.relation.projectID | No. Z2016143 | es |
dc.relation.projectID | No. Z2016148 | es |
dc.relation.projectID | No. 17TD0034 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0950705119304514 | es |
dc.identifier.doi | 10.1016/j.knosys.2019.105064 | es |
dc.journaltitle | Knowledge-Based Systems | es |
dc.publication.volumen | 188 | es |
dc.publication.issue | january 2020, 105064 | es |
dc.identifier.sisius | 21866829 | es |
dc.contributor.funder | National Natural Science Foundation of China | es |
dc.contributor.funder | Research Fund of Sichuan Science and Technology | es |
dc.contributor.funder | Chunhui Project Foundation of the Education Department of China No. Z2016143 | es |
dc.contributor.funder | Research Foundation of the Education Department of Sichuan Province | es |