Hebbian Learning from Spiking Neural P Systems View

  • Miguel A. Gutiérrez-Naranjo
  • Mario J. Pérez-Jiménez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5391)


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.


Postsynaptic Neuron System Unit System View Presynaptic Neuron Hebbian Learn 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Miguel A. Gutiérrez-Naranjo
    • 1
  • Mario J. Pérez-Jiménez
    • 1
  1. 1.Research Group on Natural Computing Department of Computer Science and Artificial IntelligenceUniversity of SevillaSevillaSpain

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