Relevance of the Time Domain to Neural Network Models

Editeur: Springer-Verlag New York Inc.
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.
Sur commande
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.
ISBN / EAN 9781461429920
Editeur Springer-Verlag New York Inc.