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Neural computation as adaptive association process in cortical sensorial maps

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Abstract

In this work, the different computational paradigms used in Artificial Intelligence (AI) and Autonomous Robotics are revised in the context of the reactive and situated paradigm. In particular, a Neural Computational paradigm based on perceptual association maps is revised. We explore the Singer hypothesis about the evidence of the same neural mechanism known from retinotopic projections. Finally, the implications of this computational paradigm with maps in the context of the definition, design, building and evaluation of neuroprosthesis are discussed.

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Acknowledgements

Two the authors (Mira, J and Delgado, A.E.) are grateful for the support from projects TIN2004-07661-C02-01 and TIN2007-07586-C02-01, in whose context this work has been developed. J. M. Ferrandez is supported by F. Séneca 05732/PI/07 and MEC TIN2008-06893-C03-01.

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Authors and Affiliations

  1. Departamento de Electrónica y Tecnología de Computadores, Universidad Politécnica de Cartagena, Cartagena, Spain

    J. M. Ferrández

  2. Departamento de Inteligencia Artificial, U.N.E.D., Madrid, Spain

    A. Delgado & J. Mira

Authors
  1. J. M. Ferrández
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  2. A. Delgado
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  3. J. Mira
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Correspondence to J. M. Ferrández.

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Ferrández, J.M., Delgado, A. & Mira, J. Neural computation as adaptive association process in cortical sensorial maps. Nat Comput 8, 739–755 (2009). https://doi.org/10.1007/s11047-009-9128-x

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  • DOI: https://doi.org/10.1007/s11047-009-9128-x

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