Gutiérrez Naranjo, Miguel ÁngelPérez Jiménez, Mario de Jesús2016-03-182016-03-1820089788461244294http://hdl.handle.net/11441/38778Spiking 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.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess