The European Physical Journal Special Topics

, Volume 146, Issue 1, pp 169–176 | Cite as

Pattern formation and encoding rhythms analysis on a spiking/bursting neuronal network

  • C. AguirreEmail author
  • D. Campos
  • P. Pascual
  • L. Vázquez


In this work we study the formation of patterns of neuronal activity when some input are presented to the network. For this task a recently developed model of neuron is utilized. This model requires a very low computational effort but presents many characteristics of more complex models such as, spiking, bursting and sub-threshold oscillations, and therefore the realistic study of the behavior of big ensembles of neurons can be aborded, even under real time conditions. New results of the application of the wavelet transform technique to the analysis of pattern formation and the possible encoding of rhythms are presented; they show that this simple, low-computational, neuron model behaves much like more complex ones.


Discrete Wavelet Transform European Physical Journal Special Topic Neuron Model Piecewise Linear Function Inferior Olive 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2007

Authors and Affiliations

  • C. Aguirre
    • 1
    Email author
  • D. Campos
    • 1
  • P. Pascual
    • 1
  • L. Vázquez
    • 2
    • 3
  1. 1.GNB, Escuela Politcnica Superior, Universidad Autnoma de MadridMadridSpain
  2. 2.Departamento de Matemtica AplicadaFacultad de Informtica Universidad Complutense de MadridMadridSpain
  3. 3.Centro de Astrobiologa, CSIC/INTA, 28850 Torrejn de ArdozMadridSpain

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