dc.creator | Ionescu, Mihai | es |
dc.creator | Paun, Andrei | es |
dc.creator | Paun, Gheorghe | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2017-02-01T10:15:43Z | |
dc.date.available | 2017-02-01T10:15:43Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Ionescu, M., Paun, A.,...,Pérez Jiménez, M.d.J. (2006). Computing with Spiking Neural P Systems: Traces and Small Universal Systems. En DNA Computing. DNA 2006. Lecture Notes in Computer Science, vol 4287 (pp. 1-16). Berlin: Springer. | |
dc.identifier.isbn | 978-3-540-49024-1 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | http://hdl.handle.net/11441/53433 | |
dc.description.abstract | Recently, the idea of spiking neurons and thus of computing
by spiking was incorporated into membrane computing, and so-called
spiking neural P systems (abbreviated SN P systems) were introduced.
Very shortly, in these systems neurons linked by synapses communicate
by exchanging identical signals (spikes), with the information encoded
in the distance between consecutive spikes. Several ways of using such
devices for computing were considered in a series of papers, with universality
results obtained in the case of computing numbers, both in the
generating and the accepting mode; generating, accepting, or processing
strings or infinite sequences was also proved to be of interest.
In the present paper, after a short survey of central notions and results
related to spiking neural P systems (including the case when SN P
systems are used as string generators), we contribute to this area with
two (types of) results: (i) we produce small universal spiking neural P
systems (84 neurons are sufficient in the basic definition, but this number
is decreased to 49 neurons if a slight generalization of spiking rules
is adopted), and (ii) we investigate the possibility of generating a language
by following the trace of a designated spike in its way through the
neurons. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2005-09345-C03-01 | |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | DNA Computing. DNA 2006. Lecture Notes in Computer Science, vol 4287 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Computing with Spiking Neural P Systems: Traces and Small Universal Systems | es |
dc.type | info:eu-repo/semantics/bookPart | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | 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 | TIN2005-09345-C03-01 | es |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F11925903_1 | es |
dc.identifier.doi | 10.1007/11925903_1 | es |
dc.contributor.group | Universidad de Sevilla. TIC193 : Computación Natural | es |
idus.format.extent | 16 | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 16 | es |
dc.relation.publicationplace | Berlin | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | |