Advances in neuromorphic hardware exploiting emerging nanoscale devices

• Other Authors: Suri, Manan.
• Format: eBook
• Language: English
• Published: New Delhi : Springer, 2017.
• Series: Cognitive systems monographs ; v. 31.
• Subjects: Neural networks (Computer science); Computer architecture.; Analog CMOS integrated circuits.; elektronické knihy; electronic books
• ISBN: 9788132237037; 9788132237013
• Physical Description: 1 online resource (216 pages)
• Item Description: Novel Biomimetic Si Devices for Neuromorphic Computing Architecture.
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.