The Relevance of the Time Domain to Neural Network Models |
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| Editor:
| Rao, A. Ravishankar
Cecchi, Guillermo A. |
| Series title: | Springer Series in Cognitive and Neural Systems Ser. |
| ISBN: | 978-1-4614-2992-0 |
| Publication Date: | Oct 2013 |
| Publisher: | Springer New York
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| Imprint: | Springer |
| Book Format: | Paperback |
| List Price: | USD $219.99USD $169.99 |
Book Description:
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Here is a unified view of how the time domain can be effectively employed in neural network models. Covers synchronization, phase-locking behavior, image processing, temporal pattern analysis, fMRI analyis, network topology and synchronizability and more.
Here is a unified view of how the time domain can be effectively employed in neural network models. Covers synchronization, phase-locking behavior, image processing, temporal pattern analysis, fMRI analyis, network topology and synchronizability and more.