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Developments in Connectionist Theory Series

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  1. Mathematical Perspectives on Neural Networks

    Edited by Paul Smolensky, Michael C. Mozer, David E. Rumelhart

    Series: Developments in Connectionist Theory Series

    Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles,...

    Published June 1st 1996 by Psychology Press

  2. Backpropagation

    Theory, Architectures, and Applications

    Edited by Yves Chauvin, David E. Rumelhart

    Series: Developments in Connectionist Theory Series

    Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The...

    Published February 1st 1995 by Psychology Press

  3. Philosophy and Connectionist Theory

    Edited by William Ramsey, David E. Rumelhart, Stephen P. Stich

    Series: Developments in Connectionist Theory Series

    The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and...

    Published September 1st 1991 by Psychology Press

  4. Neuroscience and Connectionist Theory

    Edited by Mark A. Gluck, David E. Rumelhart

    Series: Developments in Connectionist Theory Series

    Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological...

    Published February 1st 1990 by Psychology Press

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