Scaling Power Laws in the Restoration of Perception with Increasing Stimulus in Deficitary Natural Neural Network

  • Isabel Gonzalo-Fonrodona
  • Miguel A. Porras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5601)


Measurements of the restoration of visual and tactile perceptions with increasing stimulus, carried out by Justo Gonzalo (1910-1986) in patients with lesions in the cerebral cortex, constitute exceptional examples of quantification of perception. From an analysis of the data for different types of stimulus, we find that, at high enough intensity of stimulus, perception follows scaling power laws with dominance of quarter exponents, which are similar to the scaling laws found in the improvement of perception by multisensory facilitation, reflecting general mechanisms in the respective neural networks of the cortex. The analysis supports the idea that the integrative cerebral process, initiated in the projection path, reaches regions of the cortex of less specificity.


Middle Line High Stimulus Biological Neural Network Functional Gradient Multisensory Interaction 
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© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Isabel Gonzalo-Fonrodona
    • 1
  • Miguel A. Porras
    • 2
  1. 1.Departamento de Óptica, Facultad de Ciencias FísicasUniversidad Complutense de MadridMadridSpain
  2. 2.Departamento de Física Aplicada, ETSIMUniversidad Politécnica de MadridMadridSpain

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