<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Andrei Paun</style></author><author><style face="normal" font="default" size="100%">Gheorghe Paun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Small universal spiking neural P systems</style></title><secondary-title><style face="normal" font="default" size="100%">Biosystems</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Membrane computing; Spiking neural P system; Universality; Register machine</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2007</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T2K-4K96SC9-2&_user=10&_coverDate=08%2F31%2F2007&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=9192819803734d88aaf8390ec3b817e1</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Elsevier</style></publisher><pub-location><style face="normal" font="default" size="100%">San Diego, CA, USA</style></pub-location><volume><style face="normal" font="default" size="100%">90</style></volume><pages><style face="normal" font="default" size="100%">48-60</style></pages><abstract><style face="normal" font="default" size="100%">In search for small universal computing devices of various types, we consider here the case of spiking neural P systems (SN P systems), in two variants: as devices that compute functions and as devices that generate sets of numbers. We start with the first case and we produce a universal spiking neural P system with 84 neurons. If a slight generalization of the used rules is adopted, namely, we allow rules for producing simultaneously several spikes, then a considerable reduction, to 49 neurons, is obtained. For SN P systems used as generators of sets of numbers, we find a universal system with restricted rules having 76 neurons and one with extended rules having 50 neurons.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>