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Rao, A. Ravishankar

The Relevance of the Time Domain to Neural Network Models

Rao, A. Ravishankar - The Relevance of the Time Domain to Neural Network Models, ebook

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ISBN: 9781461407249
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Table of contents

1. Introduction
Guillermo Cecchi, A. Ravishankar Rao

2. Adaptation and Contraction Theory for the Synchronization of Complex Neural Networks
Pietro DeLellis, Mario diBernardo, Giovanni Russo

3. Temporal Coding Is Not Only About Cooperation—It Is Also About Competition
Thomas Burwick

4. Using Non-oscillatory Dynamics to Disambiguate Pattern Mixtures
Tsvi Achler

5. Functional Constraints on Network Topology via Generalized Sparse Representations
A. Ravishankar Rao, Guillermo A. Cecchi

6. Evolution of Time in Neural Networks: From the Present to the Past, and Forward to the Future
Ji Ryang Chung, Jaerock Kwon, Timothy A. Mann, Yoonsuck Choe

7. Synchronization of Coupled Pulse-Type Hardware Neuron Models for CPG Model
Ken Saito, Akihiro Matsuda, Katsutoshi Saeki, Fumio Uchikoba, Yoshifumi Sekine

8. A Universal Abstract-Time Platform for Real-Time Neural Networks
Alexander D. Rast, M. Mukaram Khan, Xin Jin, Luis A. Plana, Steve B. Furber

9. Solving Complex Control Tasks via Simple Rule(s): Using Chaotic Dynamics in a Recurrent Neural Network Model
Yongtao Li, Shigetoshi Nara

10. Time Scale Analysis of Neuronal Ensemble Data Used to Feed Neural Network Models
N. A. P. Vasconcelos, W. Blanco, J. Faber, H. M. Gomes, T. M. Barros, S. Ribeiro

11. Simultaneous EEG-fMRI: Integrating Spatial and Temporal Resolution
Marcio Junior Sturzbecher, Draulio Barros Araujo

12. Erratum to: Time Scale Analysis of Neuronal Ensemble Data Used to Feed Neural Network Models
N. A. P. Vasconcelos, W. Blanco, J. Faber, H. M. Gomes, T. M. Barros, S. Ribeiro

Keywords: Biomedicine, Neurosciences, Computation by Abstract Devices, Artificial Intelligence (incl. Robotics)

Author(s)
 
Publisher
Springer
Publication year
2012
Language
en
Edition
1
Series
Springer Series in Cognitive and Neural Systems
Category
Medicine, Health Care, Mode
Format
Ebook
eISBN (PDF)
9781461407249

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