Ponencia
Hebbian learning from spiking neural P systems view
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 | 2009 |
Fecha de depósito | 2018-01-10 |
Publicado en |
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ISBN/ISSN | 978-3-540-95884-0 0302-9743 |
Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TIN2006-13425
TIC-581 |
Cita | Gutiérrez Naranjo, M.Á. y Pérez Jiménez, M.d.J. (2009). Hebbian learning from spiking neural P systems view. En WMC 2008: 9th International Workshop on Membrane Computing (217-230), Edinburgh, UK: Springer. |
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