Advances in Neuromorphic Memristor Science and Applications (eBook)

Robert Kozma, Robinson E. Pino, Giovanni E. Pazienza (Herausgeber)

eBook Download: PDF

2012 | 2012
VIII, 320 Seiten
Springer Netherland (Verlag)
978-94-007-4491-2 (ISBN)

Infos

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.

Inhalt

ForewordPart I  Fundamental Concepts of Memristors and Neuromorphic Systems  Prolog – Memristor Minds; Greg SniderAre 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 Pershin Persuading Computers to Act More Like Brains; Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler, Gennady Livitz, Jasmin Léveillé, Ennio Mingolla, Dick Carter, Hisham Abdalla, and Greg Snider Memristors for More Than Just Memory: How to Use Learning to Expand Applications; Paul J. Werbos Part II  Computational Models of MemristorsComputational 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 and Pino E. Robinson Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware; Max Versace, Robert T. Kozma, and Donald C. Wunsch Memristor SPICE Modeling; Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, and Robinson E. Pino  Part III. Hardware Embodiments with Memristive Properties and ApplicationsEnergy-Efficient Memristive Analog and Digital Electronics; Sung Mo “Steve” Kang and Sangho Shin Memristor Models for Pattern Recognition Systems; Fernando Corinto, A. Ascoli, and Marco Gilli Phase Change Memory and Chalcogenide Materials Neuromorphic Applications: Emphasis on Synaptic Plasticity; Manan Suri, and Barbara DeSalvoA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexProlog – Memristor Minds; Greg SniderAre 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 Pershin Persuading Computers to Act More Like Brains; Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler, Gennady Livitz, Jasmin Léveillé, Ennio Mingolla, Dick Carter, Hisham Abdalla, and Greg Snider Memristors for More Than Just Memory: How to Use Learning to Expand Applications; Paul J. Werbos Part II  Computational Models of MemristorsComputational 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 and Pino E. Robinson Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware; Max Versace, Robert T. Kozma, and Donald C. Wunsch Memristor SPICE Modeling; Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, and Robinson E. Pino  Part III. Hardware Embodiments with Memristive Properties and ApplicationsEnergy-Efficient Memristive Analog and Digital Electronics; Sung Mo “Steve” Kang and Sangho Shin Memristor Models for Pattern Recognition Systems; Fernando Corinto, A. Ascoli, and Marco Gilli Phase Change Memory and Chalcogenide Materials Neuromorphic Applications: Emphasis on Synaptic Plasticity; Manan Suri, and Barbara DeSalvoA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexPart I  Fundamental Concepts of Memristors and Neuromorphic Systems  Prolog – Memristor Minds; Greg SniderAre 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 Pershin Persuading Computers to Act More Like Brains; Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler, Gennady Livitz, Jasmin Léveillé, Ennio Mingolla, Dick Carter, Hisham Abdalla, and Greg Snider Memristors for More Than Just Memory: How to Use Learning to Expand Applications; Paul J. Werbos Part II  Computational Models of MemristorsComputational 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 and Pino E. Robinson Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware; Max Versace, Robert T. Kozma, and Donald C. Wunsch Memristor SPICE Modeling; Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, and Robinson E. Pino  Part III. Hardware Embodiments with Memristive Properties and ApplicationsEnergy-Efficient Memristive Analog and Digital Electronics; Sung Mo “Steve” Kang and Sangho Shin Memristor Models for Pattern Recognition Systems; Fernando Corinto, A. Ascoli, and Marco Gilli Phase Change Memory and Chalcogenide Materials Neuromorphic Applications: Emphasis on Synaptic Plasticity; Manan Suri, and Barbara DeSalvoA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexProlog – Memristor Minds; Greg SniderAre 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 Pershin Persuading Computers to Act More Like Brains; Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler, Gennady Livitz, Jasmin Léveillé, Ennio Mingolla, Dick Carter, Hisham Abdalla, and Greg Snider Memristors for More Than Just Memory: How to Use Learning to Expand Applications; Paul J. Werbos Part II  Computational Models of MemristorsComputational 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 and Pino E. Robinson Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware; Max Versace, Robert T. Kozma, and Donald C. Wunsch Memristor SPICE Modeling; Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, and Robinson E. Pino  Part III. Hardware Embodiments with Memristive Properties and ApplicationsEnergy-Efficient Memristive Analog and Digital Electronics; Sung Mo “Steve” Kang and Sangho Shin Memristor Models for Pattern Recognition Systems; Fernando Corinto, A. Ascoli, and Marco Gilli Phase Change Memory and Chalcogenide Materials Neuromorphic Applications: Emphasis on Synaptic Plasticity; Manan Suri, and Barbara DeSalvoA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen IndexA 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 ApplicationsRobert A. Nawrocki, Richard M. Voyles, and Sean E. Shaeen 

Produkt-Details

• Erscheint lt. Verlag: 28.6.2012
• Reihe/Serie: Springer Series in Cognitive and Neural Systems
• Reihe/Serie: Springer Series in Cognitive and Neural Systems
• Zusatzinfo: VIII, 320 p. 164 illus., 116 illus. in color.
• Verlagsort: Dordrecht
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Studium ► 1. Studienabschnitt (Vorklinik) ► Biochemie / Molekularbiologie
• Themenwelt: Naturwissenschaften ► Biologie ► Humanbiologie
• Themenwelt: Naturwissenschaften ► Biologie ► Zoologie
• Themenwelt: Technik
• Schlagworte: Cellular network • memristor • nanotechnology • neural network • Neuromorphic Architecture
• ISBN-10: 94-007-4491-9 / 9400744919
• ISBN-13: 978-94-007-4491-2 / 9789400744912