<?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%">Linqiang Pan</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%">Spiking neural P systems with anti-spikes</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%">Computability</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">P system</style></keyword><keyword><style  face="normal" font="default" size="100%">Spiking neural P system</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%">09/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.journal.univagora.ro/?page=article_details&id=372</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%">IV</style></volume><pages><style face="normal" font="default" size="100%">273-282</style></pages><abstract><style face="normal" font="default" size="100%">Besides usual spikes employed in spiking neural P systems, we consider &quot;anti-spikes&quot;, which participate in spiking and forgetting rules, but also annihilate spikes when meeting in the same neuron.This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area: all rules become of the form bc  \rightarrow b' or bc \rightarrow lambda, where b,b'  are spikes or anti-spikes. Therefore, the regular expressions which control the spiking are the simplest possible, identifying only a singleton. A possible variation is not to produce anti-spikes in neurons, but to consider some ``inhibitory synapses&quot;, which transform the spikes which pass along them into anti-spikes. Also in this case, universality is rather easy to obtain, with rules of the above simple forms.</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>