In this work, the conexionist computational paradigm used in Artificial Intelligence (AI) and Autonomous Robotics is revised. A Neural Computational paradigm based on perceptual association maps is also analysed regarding his close relation with the conexionist paradigm. We explore the Singer hypothesis about the evidence of the same neural mechanism previous to retinotopic projections. Finally, the implications of this computational paradigm with maps in the context of the definition, design, building and evaluation of bioinspired systems is discussed.


Auditory Cortex Computational Paradigm Voice Onset Time Autonomous Robotic Frequency Modulate Rate 
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  1. 1.
    Gibson, J.J.: The ecological approach to visual perception. Houghton-Mifflin, Boston (1979)Google Scholar
  2. 2.
    Singer, W.: The Observer in the Brain. In: Understanding Representation in the Cognitive Sciences, pp. 253–256. Kluwer Academic/Plenum Publishers, New York (1999)Google Scholar
  3. 3.
    Craik, K.: The Nature of Explanation. Cambridge University Press, Cambridge (1943)Google Scholar
  4. 4.
    Penfield, W., Rasmussen, T.: The cerebral cortex of man. Macmillan, New York (1954)Google Scholar
  5. 5.
    Uchida, N., et al.: Odor maps in the mammalian olfactory bulb: domain organization and odorant structural features. Nature Neuroscience 3(10), 1035–1042 (2000)CrossRefGoogle Scholar
  6. 6.
    Merzenich, M.M., Kaas, J.H.: Principles of organization of sensory-perceptual systems in mammals. Progress in psychobiology and physiological psychology (1980)Google Scholar
  7. 7.
    Suga, N.: Cortical Computational maps for auditory imaging. Neural Networks 3, 3–21 (1990)CrossRefGoogle Scholar
  8. 8.
    Libet, B.: Unconscious cerebral initiative and the role of conscious will in voluntary action. Behavioral and Brain Sciences 8(4), 529–566 (1985)CrossRefGoogle Scholar
  9. 9.
    Luria, A.: The working brain. Basic Books, New York (1973)Google Scholar
  10. 10.
    Marr, D.: Vision. Freeman, San Francisco (1982)Google Scholar
  11. 11.
    Braitenberg, V.: Vehicles, experiments in synthetic psychology. In: Sober, E. (ed.) (1984)Google Scholar
  12. 12.
    Gonzalo, J.: Las funciones cerebrales humanas segun nuevos datos y bases fisiologicas, Instituto Cajal. CSIC (1954)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • J. M. Ferrández-Vicente
    • 1
  • A. Delgado
    • 2
  • J. Mira
    • 2
  1. 1.Dpto. Electrónica, Tecnología de ComputadorasUniv. Politécnica de CartagenaSpain
  2. 2.Departamento de Inteligencia ArtificialUNEDSpain

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