Abstract
What is artificial intelligence and how does it relate to the neurosciences, that is, to the study of various forms of natural intelligence? Will artificial intelligence (AI) just tell us something about computers or can one expect any cross-fertilization between these two areas of enquiry in the near future? This brief survey provides some background to these issues.
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Further reading
Grimson WEL (1981): From Images to Surfaces: A Computational Study of the Human Early Visual System. Cambridge: MIT Press.
Hildreth E (1984): The Measurement of Visual Motion. Cambridge: MIT Press
Koch C, Marroquin J, Yuille A (1986): Analog “neuronal” networks in early vision. Proc Nat Acad Sci USA 83: 4263–4267
Man D (1982): Vision. San Francisco: Freeman
Movshon JA, Adelson EH, Gizzi MS, Newsome WT (1985): In: Pattern Recognition Mechanisms, Chagas C, Gattas R, Gross CG, eds. Rome: Vatican Press
Poggio T, Torre V, Koch C (1985): Computational vision and regularization theory. Nature 317: 314–319
Poggio GF, Poggio T (1984): The analysis of stereopsis. Annu Rev Neurosci 7: 379–412
Winston PH (1984): Artificial Intelligence. Reading, Mass: Addison-Wesley
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Koch, C., Poggio, T. (1988). Artificial Intelligence. In: States of Brain and Mind. Readings from the Encyclopedia of Neuroscience . Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4899-6771-8_4
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DOI: https://doi.org/10.1007/978-1-4899-6771-8_4
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4899-6773-2
Online ISBN: 978-1-4899-6771-8
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