%0 Generic %D 2009 %T Hebbian learning from spiking neural P systems view %A Miguel A. Gutiérrez-Naranjo %A Mario J. Pérez-Jiménez %C Heidelberg, Alemania %I Springer Berlin / Heidelberg %P 217-230 %R 10.1007/978-3-540-95885-7_16 %U http://www.springerlink.com/content/d548306632p77n64/ %V 5391 %X Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration based on the flow of information among neurons. In this paper we present a first model for Hebbian learning in the framework of spiking neural P systems by using concepts borrowed from neuroscience and artificial neural network theory. %8 01/2009 %@ 978-3-540-95884-0