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Book Categories |
Preface | ||
Contributors | ||
1 | Pulse-Coupled Neural Networks | 1 |
2 | A Neural Network Model for Optical Flow Computation | 57 |
3 | Temporal Pattern Matching Using an Artificial Neural Network | 77 |
4 | Patterns of Dynamic Activity and Timing in Neural Network Processing | 105 |
5 | A Macroscopic Model of Oscillation in Ensembles of Inhibitory and Excitatory Neurons | 143 |
6 | Finite State Machines and Recurrent Neural Networks - Automata and Dynamical Systems Approaches | 171 |
7 | Biased Random-Walk Learning: A Neurobiological Correlate to Trial-and-Error | 221 |
8 | Using SONNET 1 to Segment Continuous Sequences of Items | 245 |
9 | On the Use of High-Level Petri Nets in the Modeling of Biological Neural Networks | 285 |
10 | Locally Recurrent Networks: The Gamma Operator, Properties, and Extensions | 311 |
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Add Neural Networks and Pattern Recognition, This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very importa, Neural Networks and Pattern Recognition to the inventory that you are selling on WonderClubX
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Add Neural Networks and Pattern Recognition, This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very importa, Neural Networks and Pattern Recognition to your collection on WonderClub |