<?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%">Miguel A. Gutiérrez-Naranjo</style></author><author><style face="normal" font="default" size="100%">Alberto Leporati</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">First steps towards a CPU made of Spiking Neural P systems</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Computers, Communications and Control</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Arithmetic operations</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">spiking neural P systems</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">30/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://journal.univagora.ro/?page=article_details&id=369</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Agora University Editing House - CCC Publications</style></publisher><pub-location><style face="normal" font="default" size="100%">Oradea, Romania</style></pub-location><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">244-252</style></pages><abstract><style face="normal" font="default" size="100%">We consider spiking neural P systems as devices which can be used to perform some basic arithmetic operations, namely addition, subtraction, comparison and multiplication by a fixed factor. The input to these systems are natural numbers expressed in binary form, encoded as appropriate sequences of spikes. A single system accepts as inputs numbers of any size. The present work may be considered as a first step towards the design of a CPU based on the working of spiking neural P systems.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">0.373</style></custom1><custom2><style face="normal" font="default" size="100%">50/59 - Q4</style></custom2></record></records></xml>