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| Preface | ||
| Ch. 1 | Introduction | 1 |
| Ch. 2 | Dynamical Systems: An Overview | 7 |
| Ch. 3 | Statistical Structure Extraction in Dynamical Systems: Parametric Formulation | 39 |
| Ch. 4 | Applications: Parametric Characterization of Time Series | 71 |
| Ch. 5 | Statistical Structure Extraction in Dynamical Systems: Nonparametric Formulation | 91 |
| Ch. 6 | Applications: Nonparametric Characterization of Time Series | 127 |
| Ch. 7 | Statistical Structure Extraction in Dynamical Systems: Semiparametric Formulation | 165 |
| Ch. 8 | Applications: Semiparametric Characterization of Time Series | 181 |
| Ch. 9 | Information Processing and Coding in Spatiotemporal Dynamical Systems: Spiking Networks | 205 |
| Ch. 10 | Applications: Information Processing and Coding in Spatiotemporal Dynamical Systems | 227 |
| Epilogue | 239 | |
| App. A | Chain Rules, Inequalities and Other Useful Theorems in Information Theory | 241 |
| App. B | Univariate and Multivariate Cumulants | 251 |
| App. C | Information Flow of Chaotic Systems: Thermodynamical Formulation | 255 |
| App. D | Generalized Discriminability by the Spike Response Model of a Single Spiking Neuron: Analytical Results | 259 |
| References | 263 | |
| Index | 275 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Mark Vander-starre
reviewed Information Dynamics on June 19, 2019
Information Dynamics
Fascinating read but quite outdated
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