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An Introduction to the Modeling of Neural Networks
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- 29 October 1992
9 - Self-organization
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Index
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Acknowledgments
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6 - The problem of learning in neural networks
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3 - The dynamics of neural networks: a stochastic approach
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12 - A critical view of the modeling of neural networks
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11 - Neurocomputers
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References
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1 - Introduction
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10 - Neurocomputation
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7 - Learning dynamics in ‘visible’ neural networks
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Preface
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2 - The biology of neural networks: a few features for the sake of non-biologists
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Frontmatter
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Preface
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- Macromolecular Crystallography with Synchrotron Radiation
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Index
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7 - The synchrotron Laue method
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11 - Conclusions and future possibilities
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Acknowledgements
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