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Ponencia
When Matrices Meet Brains
dc.creator | Zeng, Xiangxiang | es |
dc.creator | Adorna, Henry N. | es |
dc.creator | Martínez del Amor, Miguel Ángel | es |
dc.creator | Pan, Linqiang | es |
dc.date.accessioned | 2016-03-31T05:40:53Z | |
dc.date.available | 2016-03-31T05:40:53Z | |
dc.date.issued | 2010 | |
dc.identifier.isbn | 9788461423576 | es |
dc.identifier.uri | http://hdl.handle.net/11441/39191 | |
dc.description.abstract | Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, a discrete structure representation of SN P systems is proposed. Specifically, matrices are used to represent SN P systems. In order to represent the computations of SN P systems by matrices, configuration vectors are defined to monitor the number of spikes in each neuron at any given configuration; transition net gain vectors are also introduced to quantify the total amount of spikes consumed and produced after the chosen rules are applied. Nondeterminism of the systems is assured by a set of spiking transition vectors that could be used at any given time during the computation. With such matrix representation, it is quite convenient to determine the next configuration from a given configuration, since it involves only multiplying vectors to a matrix and adding vectors. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Fénix Editora | es |
dc.relation.ispartof | Proceedings of the Eighth Brainstorming Week on Membrane Computing, 311-320. Sevilla, E.T.S. de Ingeniería Informática, 1-5 de Febrero, 2010 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | When Matrices Meet Brains | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | 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 | |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/39191 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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24SNP_Matrix2b.pdf | 181.2Kb | [PDF] | Ver/ | |