Contents -- Series Editor's Preface -- Volume Editor's Preface -- Chapter 1 Neuron MOS Transistor: The Concept and Its Application -- 1.1 Introduction -- 1.2 Bio Processing vs. Electronic Processing -- 1.3 Neuron MOS and Elemental Logic Gate -- 1.4 Application to Binary Logic Gate -- 1.5 Example of Hardware Algorithm: Center of Mass Circuit -- 1.6 Right-Brain Computing Model and Association Processor -- 1.7 Applications of Association Processor Architecture -- 1.8 Conclusions -- References -- Chapter 2 Adaptive Learning Neuron Integrated Circuits Using Ferroelectric-Gate FETs -- 2.1 Introduction -- 2.2 Operation Principles of Adaptive-Learning Neuron Circuits -- 2.3 Neuron Integrated Circuits Composed of MFSFETs and CUJT Oscillation Circuits -- 2.4 Neuron Circuit Using CMOS Schmitt-Trigger Oscillator -- 2.5 Conclusions -- References -- Chapter 3 An Analog-digital Merged Circuit Architecture Using PWM Techniques for Bio-Inspired Nonlinear Dynamical Systems -- 3.1 Introduction -- 3.2 A New VLSI Implementation Approach Using PWM Signals -- 3.3 A Neural Circuit Using PWM Signals -- 3.4 Arbitrary Nonlinear Transformation Using PWM Signals -- 3.5 Conclusion -- References -- Chapter 4 Application-Driven Design of Bio-Inspired Low-Power Vision Circuits & Systems -- 4.1 Introduction -- 4.2 Methodology for application-specific design of vision circuits and systems -- 4.3 Design examples of integrated low-power vision systems -- 4.4 Conclusions and Future Work -- References -- Chapter 5 Motion Detection with Bio-Inspired Analog MOS Circuits -- 5.1 Introduction -- 5.2 Correlation Neural Networks for the Motion Detection -- 5.3 Velocity Sensing Circuits and Networks for the Correlation Model -- 5.4 Simulation Results -- 5.5 VSC Networks and Computational Algorithm for Optical Flows -- 5.6 Summary and Discussion -- 5.7 Acknowledgement.

References -- Chapter 6 vMOS Cellular-Automaton Circuit for Picture Processing -- 6.1 Introduction -- 6.2 The Cellular Automaton for Morphological Picture Processing -- 6.3 Construction of Cell Circuits using vMOS FETs -- 6.4 Properties of Cell Circuits using vMOS FET -- 6.5 Image Thinning and Shrinking by a Cellular Automaton -- 6.6 Hardware Embodiment of the Cellular Automaton for Thinning and Shrinking -- 6.7 Simulation of Operational Characteristics of a vMOS Cellular Automaton -- 6.8 Constructing a vMOS Circuit that has Low Power Dissipation -- 6.9 Conclusions -- Appendix A Simulation Analyses of Low Power vMOS circuits -- References -- Chapter 7 Semiconductor Chaos-Generating Elements of Simple Structure and Their Integration -- 7.1 Introduction -- 7.2 Capacitor-Transistor Pair -- 7.3 Return-Map Unit -- 7.4 CMOS Chaos Multivibrator -- 7.4 Chaos Generation from the Pipelined A-D Converter -- 7.6 Conclusions -- References -- Chapter 8 Computation in Single Neuron with Dendritic Trees -- 8.1 Introduction -- 8.2 Computational Consequence of Passive Dendrites -- 8.3 Functional Significance of Active Dendrites -- 8.4 Discussion and Conclusion -- Appendix A Compartmental Model of Pyramidal Neuron -- References -- About the Authors -- Keyword Index.