This HTML5 document contains 40 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n14http://localhost/temp/predkladatel/
n15http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n13http://linked.opendata.cz/resource/domain/vavai/projekt/
n12http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n16http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F47813059%3A19240%2F14%3A%230005316%21RIV15-MSM-19240___/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n17http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F47813059%3A19240%2F14%3A%230005316%21RIV15-MSM-19240___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
We improve and extend a recent result showing that spiking neural P systems with the same rules in all neurons of the system (homogenous) and working in the max sequential manner are universal. The previous work in this area reported by the group led by Dr. Linqiang Pan did not put any bound on the number of neurons used. We believe this is an important question for any future practical implementation of such systems that deserves investigation, and we provide some results in this direction. Extending the aforementioned construction with the work of Korec on small register machines one could estimate the size of the previous construction at 105 neurons. We are able to improve this result and to show that an SNP system with 83 neurons having homogenous rules and working in the max sequential manner is universal. Several related results with respect to max-pseudo sequentiality mode are also obtained: 83 neurons are necessary for this case, too. When considering the case of systems without weighted synapses, we show that one needs at most 244 homogenous neurons for reaching universality in the max-pseudo sequentiality case. We improve and extend a recent result showing that spiking neural P systems with the same rules in all neurons of the system (homogenous) and working in the max sequential manner are universal. The previous work in this area reported by the group led by Dr. Linqiang Pan did not put any bound on the number of neurons used. We believe this is an important question for any future practical implementation of such systems that deserves investigation, and we provide some results in this direction. Extending the aforementioned construction with the work of Korec on small register machines one could estimate the size of the previous construction at 105 neurons. We are able to improve this result and to show that an SNP system with 83 neurons having homogenous rules and working in the max sequential manner is universal. Several related results with respect to max-pseudo sequentiality mode are also obtained: 83 neurons are necessary for this case, too. When considering the case of systems without weighted synapses, we show that one needs at most 244 homogenous neurons for reaching universality in the max-pseudo sequentiality case.
dcterms:title
Three Universal Homogeneous Spiking Neural P Systems Using Max Spike Three Universal Homogeneous Spiking Neural P Systems Using Max Spike
skos:prefLabel
Three Universal Homogeneous Spiking Neural P Systems Using Max Spike Three Universal Homogeneous Spiking Neural P Systems Using Max Spike
skos:notation
RIV/47813059:19240/14:#0005316!RIV15-MSM-19240___
n3:aktivita
n6:S n6:P
n3:aktivity
P(ED1.1.00/02.0070), S
n3:cisloPeriodika
1-2
n3:dodaniDat
n17:2015
n3:domaciTvurceVysledku
n15:3180328
n3:druhVysledku
n7:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
50478
n3:idVysledku
RIV/47813059:19240/14:#0005316
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Membrane computing; spiking neural P system; max spike; universal machine
n3:klicoveSlovo
n9:spiking%20neural%20P%20system n9:max%20spike n9:universal%20machine n9:Membrane%20computing
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[020B9C0AF162]
n3:nazevZdroje
Fundamenta Informaticae
n3:obor
n5:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n13:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n17:2014
n3:svazekPeriodika
134
n3:tvurceVysledku
Paun, Andrei Sosík, Petr
s:issn
0169-2968
s:numberOfPages
15
n14:organizacniJednotka
19240