• DocumentCode
    2958215
  • Title

    Object perception in the neural modeling fields framework

  • Author

    Fontanari, José F. ; Perlovsky, Leonid I.

  • Author_Institution
    Inst. de Fis. de Sao Carlos, Univ. de Sao Paulo, Sao Paulo
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    1774
  • Lastpage
    1779
  • Abstract
    Movement seems to be the key ingredient to understanding how children perceive (and hence name) objects in their environment. This insight, which is based on Spelkepsilas experiments on language acquisition by children, is akin to Aristotlepsilas conception of object as a ldquocontinuous thingrdquo that has one and only one movement. Here we test this idea with a computer experiment in which the perceptual system of the individual is modeled by the Neural Modeling Fields categorization mechanism, and the environment is composed of two complex objects that can move with respect to each other. Rather remarkably, we find that movement indeed makes possible the differentiation of objects which the individual would deem indistinguishable if motionless.
  • Keywords
    cognition; cognitive systems; neural nets; children language acquisition; complex objects; neural modeling fields categorization mechanism; object perception; perceptual system; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634038
  • Filename
    4634038