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A First Model for Hebbian Learning with Spiking Neural P Systems

 

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Opened Access A First Model for Hebbian Learning with Spiking Neural P Systems
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Author: Gutiérrez Naranjo, Miguel Ángel
Pérez Jiménez, Mario de Jesús
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Date: 2008
Published in: Proceedings of the Sixth Brainstorming Week on Membrane Computing, 211-233. Sevilla, E.T.S. de Ingeniería Informática, 4-8 de Febrero, 2008
ISBN/ISSN: 9788461244294
Document type: Presentation
Abstract: Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration based on the transmission 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.
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Format: PDF

URI: http://hdl.handle.net/11441/38778

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