<?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%">Gheorghe Paun</style></author><author><style face="normal" font="default" size="100%">Andrei 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><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.gcn.us.es/4BWMC/vol2/smalluniv.pdf</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://cantor.cs.us.es/files/small universal.pdf</style></url></related-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%">49-60</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.

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