Ponencia
A First Model for Hebbian Learning with Spiking Neural P Systems
Autor/es | Gutiérrez Naranjo, Miguel Ángel
Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2008 |
Fecha de depósito | 2016-03-18 |
Publicado en |
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ISBN/ISSN | 9788461244294 |
Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TIN2006-13425
TIC-581 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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learning_br.pdf | 329.5Kb | [PDF] | Ver/ | |