{ "item_title" : "The Relevance of the Time Domain to Neural Network Models", "item_author" : [" A. Ravishankar Rao", "Guillermo A. Cecchi "], "item_description" : "Acknowledgements Foreword 1. Introduction 2. Adaptation and contraction theory for the synchronization of complex neural networks 3. Temporal Coding is not only about Cooperation - it is also about Competition 4. Using Non-Oscillatory Dynamics to Disambiguate Simultaneous Patterns 5. Functional constraints on network topology via generalized sparse representations 6. Evolution of Time in Neural Networks: From the Present to the Past, and Forward to the Future 7. Synchronization of Coupled Pulse-Type Hardware Neuron Models for CPG Model 8. A Universal Abstract-Time Platform for Real-Time Neural Networks 9. Solving Complex Control Tasks via Simple Rule(s): Using Chaotic Dynamics in a Recurrent Neural Network Model 10. Time scale analysis of neuronal ensemble data used to feed neural network models 11. Simultaneous EEG-fMRI: Integrating Spatial and Temporal Resolution", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/46/140/723/1461407230_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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