Hebbian Learning and Negative Feedback Networks (Advanced Information and Knowledge Processing)
Published January 1st by Springer first published December 1st More Details Original Title. Other Editions 4. Friend Reviews. To see what your friends thought of this book, please sign up. Advanced Information and Knowledge Processing , please sign up.
Lists with This Book. This book is not yet featured on Listopia. Community Reviews. Showing Rating details. All Languages. More filters. Sort order. Lita rated it really liked it Mar 29, Eugene added it Apr 22, Darryl Charles  in Chapter 5. Stephen McGlinchey  in Chapter 7. Donald MacDonald  in Chapters 6 and 8. Emilio Corchado  in Chapter 8. We brie? Mark Girolami  in Chapter 6 but do not discuss any of the rest of his thesis since it has already appeared in book form . All of Chapters 3 to 8 deal with single stream arti?
The Negative Feedback Network. Table 1. Discussion Understanding the functioning and learning in dynamical neural networks is challenging but also very important for advancing our theories and models of the brain—an exquisitely dynamical machine. Supporting information. S1 Supporting Information. All supporting information of the article is contained in a pdf file with such name.
Acknowledgments We thank Emilio Cartoni and Daniele Caligiore for feedback on contents, and Andrew Barto for his help to revise both the contents and form of the last manuscript. References 1. Hebb DO. The Organization of Behaviour. A history of spike-timing-dependent plasticity. Front Synaptic Neurosci. Shatz CJ. The Developing brain. Sci Am. Goel A, Buonomano DV. Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments. Kosko B. Differential Hebbian learning.
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Hebbian Learning and Negative Feedback Networks - Colin Fyfe - Google книги
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