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Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies, Changjin Wan


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Автор: Changjin Wan
Название:  Electric-Double-Layer Coupled Oxide-Based Neuromorphic Transistors Studies
ISBN: 9789811333132
Издательство: Springer
Классификация:




ISBN-10: 9811333130
Обложка/Формат: Hardcover
Страницы: 107
Вес: 0.37 кг.
Дата издания: 2019
Серия: Springer Theses
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 60 tables, color; 70 illustrations, color; 7 illustrations, black and white; xxi, 107 p. 77 illus., 70 illus. in color.
Размер: 234 x 156 x 10
Читательская аудитория: Professional & vocational
Основная тема: Materials Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book focuses on essential synaptic plasticity emulations and neuromorphic computing applications realized with the aid of three-terminal synaptic devices based on ion-coupled oxide-based electric-double-layer (EDL) transistors. To replicate the robust, plastic and fault-tolerant computational power of the human brain, the emulation of essential synaptic plasticity and computation of neurons/synapse by electronic devices are generally considered to be key steps. The book shows that the formation of an EDL at the dielectric/channel interface that slightly lags behind the stimuli can be attributed to the electrostatic coupling between ions and electrons; this mechanism underlies the emulation of short-term synaptic behaviors. Furthermore, it demonstrates that electrochemical doping/dedoping processes in the semiconducting channel by penetrated ions from electrolyte can be utilized for the emulation of long-term synaptic behaviors. Lastly, it applies these synaptic transistors in an artificial visual system to demonstrate the potential for constructing neuromorphic systems. Accordingly, the book offers a unique resource on understanding the brain-machine interface, brain-like chips, artificial cognitive systems, etc.

Дополнительное описание: Introduction.- Fabrications and characterizations of oxide-based EDL transistors.- Synaptic emulations based on oxide-based EDL transistors.- Neuromorphic computing applications based on oxide-based EDL transistors.- Summary and prospect.



Event?€“Based Neuromorphic Systems

Автор: Shih?€“Chii Liu,Tobi Delbruck,Giacomo Indiveri,Adr
Название: Event?€“Based Neuromorphic Systems
ISBN: 0470018496 ISBN-13(EAN): 9780470018491
Издательство: Wiley
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Цена: 13456.00 р.
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Описание: Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain`s efficient data-driven communication design, which is key to its quick responses and remarkable capabilities.

Compact Models for Integrated Circuit Design: Conventional Transistors and Beyond

Автор: Saha Samar K.
Название: Compact Models for Integrated Circuit Design: Conventional Transistors and Beyond
ISBN: 1482240661 ISBN-13(EAN): 9781482240665
Издательство: Taylor&Francis
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Цена: 31390.00 р.
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Описание: This modern treatise on compact models for circuit computer-aided design (CAD) presents industry standard models for bipolar-junction transistors (BJTs), metal-oxide-semiconductor (MOS) field-effect-transistors (FETs), FinFETs, and tunnel field-effect transistors (TFETs), along with statistical MOS models.

Neuromorphic Circuits for Nanoscale Devices

Автор: Pinaki Mazumder; Yalcin Yilmaz
Название: Neuromorphic Circuits for Nanoscale Devices
ISBN: 8770220603 ISBN-13(EAN): 9788770220606
Издательство: Taylor&Francis
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Цена: 14851.00 р.
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Описание:

Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different physical properties which provide advantages in the design of certain classes of circuits over conventional CMOS transistors.

Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuromorphic circuits for various applications of non-volatile memory, neural network training/learning, and image processing.

Table of Content:

Introduction; 1. Crossbar Memory Simulation and Performance Evaluation; 2. Memristor Digital Memory; 3. Multi-Level Memory Architecture; 4. Neuromorphic Building Blocks with Memristors; 5. Value Iteration with Memristors; 6. 2-D Array of Multi-Peak Resonant Tunneling Diodes Based Color Image Processing; 7. Color Image Processing with Multi-Peak Resonant Tunneling Diodes; 8. Design of a Velocity-Tuned Filter Using a Matrix of Resonant Tunneling Diodes; 9. Image Processing by a Programmable Artificial Retina Comprising Quantum Dots

The Making of a Neuromorphic Visual System

Автор: Christoph Rasche
Название: The Making of a Neuromorphic Visual System
ISBN: 146149849X ISBN-13(EAN): 9781461498490
Издательство: Springer
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Цена: 22201.00 р.
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Описание: 1: Seeing: Blazing Processing Characteristics 1.1 An Infinite Reservoir of Information 1.2 Speed 1.3 Illusions 1.4 Recognition Evolvement 1.5 Basic-Level Categorization 1.6 Memory Capacity and Access 1.7 Summary 2: Category Representation and Recognition Evolvement 2.1 Structural Variability Independence 2.2 Viewpoint Independence 2.3 Representation and Evolvement 2.4 Recapitulation 2.5 Refining the Primary Engineering Goal 3: Neuroscientific Inspiration 3.1 Hierarchy and Models 3.2 Criticism and Variants 3.3 Speed 3.4 Alternative 'Codes' 3.5 Alternative Shape Recognition 3.6 Insight from Cases of Visual Agnosia 3 7 Neuronal Level 3.8 Recapitulation and Conclusion 4: Neuromorphic Tools 4.1 The Transistor 4.2 A Synaptic Circuit 4.3 Dendritic Compartments 4.4 An Integrate-and-Fire Neuron 4.5 A Silicon Cortex 4.6 Fabrication Vagrancies require Simplest Models 4.7 Recapitulation 5: Insight From Line Drawings Studies 5.1 A Representation with Polygons 5.2 A Representation with Polygons and their Context 5.3 Recapitulation 6: Retina Circuits Signaling and Propagating Contours 6.1 The Input: a Luminance Landscape 6.2 Spatial Analysis in the Real Retina 6.3 The Propagation Map 6.4 Signaling Contours in Gray-Scale Images 6.5 Recapitulation 7: The Symmetric-Axis Transform 7.1 The Transform 7.2 Architecture 7.3 Performance 7.4 SAT Variants 7.5 Fast Waves 7.6 Recapitulation 8: Motion Detection 8.1 Models 8.2 Speed Detecting Architectures 8.3 Simulation 8.4 Biophysical Plausibility 8.5 Recapitulation 9: Neuromorphic Architectures: Pieces and Proposals 9.1 Integration Perspectives 9.2 Position and Size Invariance 9.3 Architecture for a Template Approach 9.4 Basic-Level Representations 9.5 Recapitulation 10: Shape Recognition with ContourPropagation Fields 10.1 The Idea of the Contour Propagation Field 10.2 Architecture 10.3 Testing 10.4 Discussion 10.5 Learning 10.6 Recapitulation 11: Scene Recognition 11.1 Objects in Scenes, Scene Regularity 11.2 Representation, Evolvement, Gist 11.3 Scene Exploration 11.4 Engineering 11.5 Recapitulation 12: Summary 12.1 The Quest for Efficient Representation and Evolvement 12.2 Contour Extraction and Grouping 12.3 Neuroscientific Inspiration 12.4 Neuromorphic Implementation 12.5 Future Approach Terminology References Index Keywords Abbreviations

Learning in Energy–Efficient Neuromorphic Computing

Автор: Nan Zheng, Pinaki Mazumder
Название: Learning in Energy–Efficient Neuromorphic Computing
ISBN: 1119507383 ISBN-13(EAN): 9781119507383
Издательство: Wiley
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Цена: 15990.00 р.
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Описание:

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications

This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities--and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks.

The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware.

  • Includes cross-layer survey of hardware accelerators for neuromorphic algorithms
  • Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency
  • Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.

Semiconducting Metal Oxide Thin-Film Transistors

Автор: Ye Zhou
Название: Semiconducting Metal Oxide Thin-Film Transistors
ISBN: 0750325542 ISBN-13(EAN): 9780750325547
Издательство: INGRAM PUBLISHER SERVICES UK
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Цена: 25344.00 р.
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Описание: Patrick McGorry has transformed the lives of thousands of young people through early intervention and a holistic approach to mental health care. Here, he presents his plan for mental wealth for all Australians - he wants to ensure that all Australians have every chance for a fulfilling and mentally healthy life, crucially supported by stigma-free access to humane and effective mental health care.

Neuromorphic Systems Engineering

Автор: Tor Sverre Lande
Название: Neuromorphic Systems Engineering
ISBN: 1475782985 ISBN-13(EAN): 9781475782981
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives.
Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include:

  • large scale analog systems in silicon
  • neuromorphic silicon
  • auditory (ear) and vision (eye) systems in silicon
  • learning and adaptation in silicon
  • merging biology and technology
  • micropower analog circuit design
  • analog memory
  • analog interchipcommunication on digital buses /LIST
    Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.
  • Short-Channel Organic Thin-Film Transistors

    Автор: Tarek Zaki
    Название: Short-Channel Organic Thin-Film Transistors
    ISBN: 3319369806 ISBN-13(EAN): 9783319369808
    Издательство: Springer
    Рейтинг:
    Цена: 13059.00 р.
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    Описание: This work takes advantage of high-resolution silicon stencil masks to build air-stable complementary OTFTs using a low-temperature fabrication process. the masks exhibit excellent stiffness and stability, thus allowing OTFTs with submicrometer channel lengths and superb device uniformity to be patterned.

    High-Frequency Bipolar Transistors

    Автор: Michael Reisch
    Название: High-Frequency Bipolar Transistors
    ISBN: 364263205X ISBN-13(EAN): 9783642632051
    Издательство: Springer
    Рейтинг:
    Цена: 28734.00 р.
    Наличие на складе: Есть у поставщика Поставка под заказ.

    Описание: This modern book-length treatment gives a detailed presentation of high-frequency bipolar transistors in silicon or silicon-germanium technology, with particular emphasis placed on today`s advanced compact models and their physical foundations.

    High Mobility and Quantum Well Transistors

    Автор: Geert Hellings; Kristin De Meyer
    Название: High Mobility and Quantum Well Transistors
    ISBN: 9400795696 ISBN-13(EAN): 9789400795693
    Издательство: Springer
    Рейтинг:
    Цена: 15672.00 р.
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    Описание: This book explores the use of high mobility semiconductors such as germanium and III-V materials, the need to redesign transistors to work with such materials and the appropriateness of Quantum Well-based transistors for this new stage of transistor evolution.


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