Hebbian learning from spiking neural P systems view

Wed, 10/28/2009 - 21:08 — mmartinez

Title	Hebbian learning from spiking neural P systems view
Publication Type	Journal Papers
Year of Publication	2009
Authors	Gutiérrez-Naranjo, M. A., & Pérez-Jiménez M. J.
Journal Title	Lecture Notes in Computer Science
ISBN Number	978-3-540-95884-0
Publisher	Springer Berlin / Heidelberg
Place Published	Heidelberg, Alemania
Volume	5391
Pages	217-230
Date Published	01/2009
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.
URL	http://www.springerlink.com/content/d548306632p77n64/
DOI	10.1007/978-3-540-95885-7_16