<?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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Spiking Neural P Systems. Power and Efficiency</style></title><secondary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">06/2007</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/8j062170878572pt/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Amsterdam, The Netherlands</style></pub-location><volume><style face="normal" font="default" size="100%">4527</style></volume><pages><style face="normal" font="default" size="100%">153-169</style></pages><abstract><style face="normal" font="default" size="100%">This is a brief survey of spiking neural P systems, a branch of membrane computing recently introduced with motivation from neural computing. Basic ideas, examples, some results, and several research topics are presented. </style></abstract></record></records></xml>