BookRobert Kozma, Robinson E. Pino, Giovanni E. Pazienza, editors.
Summary: Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.
Contents:
Part 1. Fundamental Concepts of Memristors and Neuromorphic Systems
Prolog: Memristor Minds / Greg Snider
Are Memristors the Future of AI? A Review of Recent Progress and Future Perspectives / Robert Kozma, Robinson E. Pino and Giovanni E. Pazienza
Biologically-Inspired Electronics with Memory Circuit Elements / Massimiliano Di Ventra and Yuriy V. Pershin
Persuading Computers to Act More Like Brains / Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler and Gennady Livitz, et al.
Memristors for More Than Just Memory: How to Use Learning to Expand Applications / Paul J. Werbos
Part 2. Computational Models of Memristors
Computational Intelligence and Neuromorphic Computing Architectures / Robinson E. Pino
Reconfigurable Memristor Fabrics for Heterogeneous Computing / Dhireesha Kudithipudi and Cory E. Merkel
Statistical Memristor Model and Its Applications in Neuromorphic Computing / Hai Helen Li, Miao Hu and Robinson E. Pino
Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware / Max Versace, Robert T. Kozma and Donald C. Wunsch
Phase Change Memory and Chalcogenide Materials for Neuromorphic Applications: Emphasis on Synaptic Plasticity / Manan Suri and Barbara DeSalvo
Energy-Efficient Memristive Analog and Digital Electronics / Sung Mo Steve Kang and Sangho Shin
Memristor SPICE Modeling / Chris Yakopcic, Tarek M. Taha, Guru Subramanyam and Robinson E. Pino
Memristor Models for Pattern Recognition Systems / Fernando Corinto, Alon Ascoli and Marco Gilli
A Columnar V1/V2 Visual Cortex Model and Emulation / Robinson E. Pino and Michael Moore
Polymer and Nanoparticle-Composite Bistable Devices: Physics of Operation and Initial Applications / Robert A. Nawrocki, Richard M. Voyles and Sean E. Shaheen.