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Associative and Competitive Principles of Learning and Development

The Temporal Unfolding and Stability of STM and LTM Patterns

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Competition and Cooperation in Neural Nets

Part of the book series: Lecture Notes in Biomathematics ((LNBM,volume 45))

Abstract

This article reviews some principles, mechanisms, and theorems from my work over the past twenty-five years. I review these results here to illustrate their interconnectedness from a recent perspective, to indicate directions for future work, and to reaffirm an approach to theorizing on problems of mind and brain that is still not fashionable despite growing signs that it needs to become so soon.

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Authors and Affiliations

  1. Department of Mathematics, Boston University, Boston, Mass., 02215, USA

    Stephen Grossberg

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  1. Stephen Grossberg
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Editors and Affiliations

  1. Dept. of Mathematical Engineering and Instrumentation Physics, University of Tokyo, Bunkyo-ku, Tokyo 113, Japan

    Shun-ichi Amari (Co-Organizer) (Co-Organizer)

  2. Center for Systems Neuroscience, Department of Computer and Information Science, University of Massachusetts, 01003, Amherst, MA, USA

    Michael A. Arbib (Co-Organizer) (Co-Organizer)

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Grossberg, S. (1982). Associative and Competitive Principles of Learning and Development. In: Amari, Si., Arbib, M.A. (eds) Competition and Cooperation in Neural Nets. Lecture Notes in Biomathematics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46466-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-46466-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11574-8

  • Online ISBN: 978-3-642-46466-9

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