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

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Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy (IWINAC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5601))

Abstract

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.

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Gonzalo-Fonrodona, I., Porras, M.A. (2009). Scaling Power Laws in the Restoration of Perception with Increasing Stimulus in Deficitary Natural Neural Network. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy. IWINAC 2009. Lecture Notes in Computer Science, vol 5601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02264-7_19

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  • DOI: https://doi.org/10.1007/978-3-642-02264-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02263-0

  • Online ISBN: 978-3-642-02264-7

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