Cellular Neural Networks and Visual Computing

• 1. Once over lightly; 2. Introduction - notations, definitions and mathematical foundation; 3. Characteristics and analysis of simple CNN templates; 4. Simulation of the CNN dynamics; 5. Binary CNN characterization via Boolean functions; 6. Uncoupled CNNs: unified theory and applications; 7. Introduction to the CNN universal machine; 8. Back to basics: nonlinear dynamics and complete stability; 9. The CNN universal machine (CNN - UM); 10. Template design tools; 11. CNNs for linear image processing; 12. Coupled CNN with linear synaptic weights; 13. Uncoupled standard CNNs with nonlinear synaptic weights; 14. Standard CNNs with delayed synaptic weights and motion analysis; 15. Visual microprocessors - analog and digital VLSI implementation of the CNN universal machine; 16. CNN models in the visual pathway and the 'bionic eye'; Appendix A. A CNN template library; Appendix B. Using a simple multi-layer CNN analogic dynamic template and algorithm simulator (CANDY); Appendix C. A program for binary CNN template design and optimization (TEMPO).

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