| The Role of Field Coupling in Nano-Scale Cellular Nonlinear Networks | p. 1 |
| On the Relationship Between CNNs and PDEs | p. 16 |
| New Spatial-Temporal Patterns and the First Programmable On-Chip Bifurcation Test-Bed | p. 25 |
| On Stability of Full Range and Polynomial Type CNNs | p. 33 |
| A Study on Limit Cycles in Nearly Symmetric Cellular Neural Networks | p. 41 |
| An Improved Global Stability Result for Cellular Neural Networks with Time Delay | p. 47 |
| SC-CNNs for Chaotic Signals Generation | p. 55 |
| Moving Object Tracking on Panoramic Images | p. 63 |
| MPEG-4 Based Modifications for an CNN Segmentation Chip | p. 71 |
| Watermarking for the Authentication of Video on CNN-UM | p. 78 |
| An Analogic CNN-Algorithm of Pixel Level Snakes for Tracking and Surveillance Tasks | p. 84 |
| On the Dynamics of a Class of Cellular Neural Networks | p. 92 |
| mL-CNN: A CNN Model for Reaction-Diffusion Processes in m-Component Systems | p. 98 |
| Emergence of Global Patterns in Connected Neural Networks | p. 107 |
| Influence of System Non-Uniformity on Dynamic Phenomena in Arrays on Coupled Nonlinear Networks | p. 115 |
| Boolean Design of Binary Initialized and Coupled CNN Image Processing Operators | p. 124 |
| ACE16K: A 128x128 Focal Plane Analog Processor with Digital I/O | p. 132 |
| On the RTD Implementation of Simplicial Cellular Nonlinear Networks | p. 140 |
| Programmable Optical CNN Implementation Based on the Template Pixels' Angular Coding | p. 148 |
| Application Issues Of A Programmable Optical CNN Implementation | p. 156 |
| Configurable Multi-Layer CNN-UM Emulator on FPGA | p. 164 |
| Object-Oriented Image Analysis via Analogic CNN Algorithms - Part I: Motion Estimation | p. 172 |
| Object-Oriented Image Analysis via Analogic CNN Algorithms - Part II: Image Synthesis and Consistency Observation | p. 180 |
| A CNN Path Planning for a Mobile Robot in an Environment with Obstacles | p. 188 |
| A CNN Based System to Blind Sources Separation of MEG Signals | p. 195 |
| Delay-Driven Contrast Enhancement Using a Cellular Neural Network with State-Dependant Delay | p. 202 |
| Time as Coding Space for Information Processing in the Cerebral Cortex | p. 209 |
| Characterizing the Spatio-Temporal Dynamics of the Epileptogenic Progress with Nonlinear EEG Analyses | p. 228 |
| Analyzing Multidimensional Neural Activity via CNN-UM | p. 243 |
| Basic Mammalian Retinal Effects on the Prototype Complex Cell CNN Universal Machine | p. 251 |
| Prediction of Epileptic Seizures by CNN with Linear Weight Functions | p. 259 |
| Biometric Authentication Based on Perceptual Resonance between CNN Emergent Patterns and Humans | p. 267 |
| CNN Based Central Pattern Generators with Sensory Feedback | p. 275 |
| Mobile Sensor-Actuator Networks: Opportunities and Challenges | p. 283 |
| Visual Feedback by Using a CNN Chip Prototype System | p. 291 |
| Multi-Target Tracking with Stored Program Adaptive CNN Universal Machines | p. 299 |
| CNN-based 3D Thermal Modeling of the Soil for Antipersonnel Mine Detection | p. 307 |
| PDE Based Histogram Modification with Embedded Morphological Processing of the Level-Sets | p. 315 |
| Computational and Computer Complexity of Analogic Cellular Wave Computers | p. 323 |
| Design of Min/Max Cellular Neural Networks (MMCNNS) in CMOS Technology | p. 339 |
| Improved ARAM for PARIS, an Original Programmable Vision Chip | p. 347 |
| An Accelerated CNN-UM (CASTLE) Architecture by Using the Pipe-Line Technique | p. 355 |
| PDE-DPCNN: A CNN Chip for Analogue Simulations of RD Equations | p. 363 |
| Chaotic Phenomena in Quantum Cellular Neural Networks | p. 369 |
| Fingerprint Image Enhancement Using CNN Gabor-Type Filters | p. 377 |
| Obstacle Detection in Planar Worlds Using Cellular Neural Networks | p. 383 |
| Potential Anomaly Separation Using Genetically Trained Mutli-Level Cellular Neural Networks | p. 391 |
| Fragile Watermarking and Unkeyed Hash Function Implementation for Image Authentication on CNN-UM | p. 399 |
| Analogic Preprocessing and Segmentation Algorithms for Off-Line Handwriting Recognition | p. 407 |
| Nonlinear Dynamics and Propagation in Positive Feedback Comparators for A/D Converters | p. 415 |
| Realization of Couplings in a Polynomial Type Mixed-Mode CNN | p. 422 |
| A Cellular Fuzzy Associative Memory for Bidimensional Pattern Segmentation | p. 430 |
| A/D and D/A Converters in a Mixed-Mode CNN | p. 436 |
| CMOS Realization of a 2-Layer CNN Universal Machine Chip | p. 444 |
| CNN Based Color Constancy Algorithm | p. 452 |
| Improvement of the Method for Uncoupled Binary Input-Output CNN Template Decomposition | p. 459 |
| Statistical Error Modeling of CNN-UM Architectures: The Binary Case | p. 467 |
| Statistical Error Modeling of CNN-UM Architectures: The Grayscale Case | p. 475 |
| CNN and the Evolution of Complex Information Systems in Nature and Technology | p. 483 |
| Future Visual Microsensors for Mini/Micro-UAV Applications | p. 498 |
| CMOS Design of Cellular APAPs and FPAPAPs: An Overview | p. 507 |
| MEMS, Microsystems and Nanosystems | p. 512 |
| On the Design Method of Cellular Neural Networks for Associative Memories Based on Generalized Eigenvalue Problem | p. 515 |
| Multi-Template Training for Image Processing with Cellular Neural Networks | p. 523 |
| Hardware-Oriented Algorithm for Associative Memories on Cellular Neural Networks | p. 532 |
| Hysteresis Cellular Neural Networks for Solving Combinatorial Optimization Problems | p. 539 |
| Texture Segmentation by the 64x64 CNN Chip | p. 547 |
| Colour Space Transformation and Exact Colour Reproduction with CNN Technology | p. 555 |
| Image Processing Library for the Aladdin Visual Computer | p. 563 |
| A New Design Method for the Neighborhood on Improving the CNN's Efficiency | p. 571 |
| Application of Analogic CNN Algorithms in Telemedical Neuroradiology | p. 579 |
| Composite Morphological Functions for DT-CNNs | p. 587 |
| Teaching CNN and Learning by Using CNN | p. 595 |
| Novel Methods and Results in Training Universal Multi-Nested Neurons | p. 601 |
| The Design of Ratio-Memory Cellular Neural Network (RMCNN) with Self-Feedback Template Weight for Pattern Learning and Recognition | p. 609 |
| Supervised and Unsupervised ART-like Classifications of Binary Vectors on the CNN Universal Machine | p. 616 |
| Non-Saturated Binary Image Learning and Recognition Using the Ratio-Memory Cellular Neural Network (RMCNN) | p. 624 |
| Design of IC Implementation of 16x16 CNN with Serial Parallel Input | p. 630 |
| Analogue Weighted Median Filter Based on Cellular Neural Network for Standard Video Signal Processing | p. 638 |
| Implementing Grayscale Morphological Operators with a Compact Ranked Order Extractor Circuit | p. 646 |
| A Multimode Gray-Scale CMOS Optical Sensor for Visual Computers | p. 654 |
| Test-Bed Board for 16x64 Stereo Vision CNN Chip | p. 662 |
| Author Index | p. 669 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
