This book deals with information theory, a new and expanding area of neuroscience which provides a framework for understanding neuronal processing.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
List of contributors; Preface; 1. Introductory information theory and the brain Roland Baddeley; Part I. Biological Networks: 2. Problems and solutions in early visual processing Brian G. Burton; 3. Coding efficiency and the metabolic cost of sensory and neural information Simon B. Laughlin, John C. Anderson, David O'Carroll and Rob de Ruyter van Stevenick; 4. Coding third-order image structure Mitchell Thomson; Part II. Information Theory and Artificial Networks: 5. Experiments with low entropy neural networks George Harpur and Richard Prager; 6. The emergence of dominance stripes and orientation maps in a network of firing neurons Stephen P. Luttrell; 7. Dynamic changes in receptive fields induced by cortical reorganization Germán Mato and Néstor Parga; 8. Time to learn about objects Guy Wallis; 9. Principles of cortical processing applied to and motivated by artificial object recognition Norbert Krüger, Michael Pötzsch and Gabriele Peters; 10. Performance measurement based on usable information Martin Elliffee; Part III. Information Theory and Psychology: 11. Modelling clarity change in spontaneous speech Matthew Aylett; 12. Free gifts from connectionist modelling John A. Bullinaria; 13. Information and resource allocation Janne Sinkkonen; Part IV. Formal Analysis: 14. Quantitative analysis of a Schaffer collateral model Simon Schultz, Stefano Panzeri, Edmund Rolls and Alessandro Treves; 15. A quantitative model of information processing in CA1 Carlo Fulvi Mari, Stefano Panzeri, Edmund Rolls and Alessandro Treves; 16. Stochastic resonance and bursting in a binary-threshold neuron with intrinsic noise Paul C. Bressloff and Peter Roper; 17. Information density and cortical magnification factors M. D. Plumbley; References; Index.
List of contributors; Preface; 1. Introductory information theory and the brain Roland Baddeley; Part I. Biological Networks: 2. Problems and solutions in early visual processing Brian G. Burton; 3. Coding efficiency and the metabolic cost of sensory and neural information Simon B. Laughlin, John C. Anderson, David O'Carroll and Rob de Ruyter van Stevenick; 4. Coding third-order image structure Mitchell Thomson; Part II. Information Theory and Artificial Networks: 5. Experiments with low entropy neural networks George Harpur and Richard Prager; 6. The emergence of dominance stripes and orientation maps in a network of firing neurons Stephen P. Luttrell; 7. Dynamic changes in receptive fields induced by cortical reorganization Germán Mato and Néstor Parga; 8. Time to learn about objects Guy Wallis; 9. Principles of cortical processing applied to and motivated by artificial object recognition Norbert Krüger, Michael Pötzsch and Gabriele Peters; 10. Performance measurement based on usable information Martin Elliffee; Part III. Information Theory and Psychology: 11. Modelling clarity change in spontaneous speech Matthew Aylett; 12. Free gifts from connectionist modelling John A. Bullinaria; 13. Information and resource allocation Janne Sinkkonen; Part IV. Formal Analysis: 14. Quantitative analysis of a Schaffer collateral model Simon Schultz, Stefano Panzeri, Edmund Rolls and Alessandro Treves; 15. A quantitative model of information processing in CA1 Carlo Fulvi Mari, Stefano Panzeri, Edmund Rolls and Alessandro Treves; 16. Stochastic resonance and bursting in a binary-threshold neuron with intrinsic noise Paul C. Bressloff and Peter Roper; 17. Information density and cortical magnification factors M. D. Plumbley; References; Index.
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