@article {449,
	title = {Hebbian learning from spiking neural P systems view},
	journal = {Lecture Notes in Computer Science},
	volume = {5391},
	year = {2009},
	month = {01/2009},
	pages = {217-230},
	publisher = {Springer Berlin / Heidelberg},
	address = {Heidelberg, Alemania},
	abstract = {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. },
	isbn = {978-3-540-95884-0},
	doi = {10.1007/978-3-540-95885-7_16},
	url = {http://www.springerlink.com/content/d548306632p77n64/},
	author = {Miguel A. Guti{\'e}rrez-Naranjo and Mario J. P{\'e}rez-Jim{\'e}nez}
}
