期刊全稱 | Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices | 影響因子2023 | Manan Suri | 視頻video | http://file.papertrans.cn/150/149187/149187.mp4 | 發(fā)行地址 | Employs a flexible format, so that it can be used either (a) as a regular graduate level course textbook or (b) as an advanced research manuscript in the field of neuromorphic hardware.Places major em | 學(xué)科分類 | Cognitive Systems Monographs | 圖書封面 |  | 影響因子 | .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.. | Pindex | Book 2017 |
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