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    Mandatory Readings:
    • McCulloch, W.S. & Pitts, W. (1943): A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics 5, pp. 115-133.
    • Rosenblatt, F. (1958): The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Reviews 65, pp. 386-408.
    Further Readings:
    • Elman, J. L. (1990): Finding structure in time. Cognitive Science 14, pp.179–211.
    • Gallant, S. I. (1990): Perceptron-based learning algorithms. IEEE Transactions on Neural Networks 1 (2), pp. 179-191.
    • Rumelhart, D.E., Hinton, G. E. & Williams, R. J. (1986): Learning representations by back-propagating errors. Nature 323, pp. 533-536.
    • Supervised learning demo (perceptron learning rule) at

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