 Название: Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
Автор: Manan Suri (Editor)
Издательство: Springer
Серия: Cognitive Systems Monographs (Book 31)
ISBN: 8132237013
Год: 2017
Язык: Английский
Страниц: 216
Формат: pdf
Размер: 12.83 MB
Эта книга охватывает все основные аспекты передовых исследований в области нейроморфной аппаратной инженерии с участием новых наноразмерных устройств. Особое внимание уделяется передовым разработкам в проектировании гибридных маломощных КМОП-наноустройств.
This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.
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