Brainware: Bio-inspired Architecture and Its Hardware Implementation

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World Scientific, 2001 - Computers - 244 pages
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The human brain, the ultimate intelligent processor, can handle ambiguous and uncertain information adequately. The implementation of such a human-brain architecture and function is called OC brainwareOCO. Brainware is a candidate for the new tool that will realize a human-friendly computer society. As one of the LSI implementations of brainware, a OC bio-inspiredOCO hardware system is discussed in this book. Consisting of eight enriched versions of papers selected from IIZUKA ''98, this volume provides wide coverage, from neuronal function devices to vision systems, chaotic systems, and also an effective design methodology of hierarchical large-scale neural systems inspired by neuroscience. It can serve as a reference for graduate students and researchers working in the field of brainware. It is also a source of inspiration for research towards the realization of a silicon brain. Contents: Neuron MOS Transistor: The Concept and Its Application (T Shibata); Adaptive Learning Neuron Integrated Circuits Using Ferroelectric-Gate FETs (S-M Yoon et al.); An AnalogOCoDigital Merged Circuit Architecture Using PWM Techniques for Bio-Inspired Nonlinear Dynamical Systems (T Morie et al.); Application-Driven Design of Bio-Inspired Low-Power Vision Circuits and Systems (A KAnig et al.); Motion Detection with Bio-Inspired Analog MOS Circuits (H Yonezu et al.); cents MOS Cellular-Automaton Circuit for Picture Processing (M Ikebe & Y Amemiya); Semiconductor Chaos-Generating Elements of Simple Structure and Their Integration (K Hoh et al.); Computation in Single Neuron with Dendritic Trees (N Katayama et al.). Readership: Graduate students, researchers and industrialists in artificial intelligence, neural networks, machine perception, computer vision, pattern/handwriting recognition, image analysis and biocomputing."
 

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Contents

The Concept and Its Application
1
Chapter 2 Adaptive Learning Neuron Integrated Circuits Using FerroelectricGate FETs
33
Chapter 3 An Analogdigital Merged Circuit Architecture Using PWM Techniques for BioInspired Nonlinear Dynamical Systems ...
61
Chapter 4 ApplicationDriven Design of BioInspired LowPower Vision Circuits Systems
89
Chapter 5 Motion Detection with BioInspired Analog MOS Circuits
123
Chapter 6 vMOS CellularAutomaton Circuit for Picture Processing
135
Chapter 7 Semiconductor ChaosGenerating Elements of Simple Structure and Their Integration ...
163
Chapter 8 Computation in Single Neuron with Dendritic Trees
179
Appendix A Compartmental Model of Pyramidal Neuron
197
About the Authors
207
Keyword Index
229
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