Layered Hybrid Connectionist Models for Cognitive Science

  • Jerome Feldman
  • David Bailey
Conference paper

DOI: 10.1007/10719871_2

Volume 1778 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Feldman J., Bailey D. (2000) Layered Hybrid Connectionist Models for Cognitive Science. In: Wermter S., Sun R. (eds) Hybrid Neural Systems. Hybrid Neural Systems 1998. Lecture Notes in Computer Science, vol 1778. Springer, Berlin, Heidelberg

Abstract

Direct connnectionist modeling of higher cognitive functions, such as language understanding, is impractical. This chapter describes a principled multi-layer architecture that supports AI style computational modeling while preserving the biological plausibility of structured connectionist models. As an example, the connectionist realization of Bayesian model merging as recruitment learning is presented.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Jerome Feldman
    • 1
  • David Bailey
    • 1
  1. 1.International Computer Science InstituteBerkeleyUSA