Energy-Efficient Devices and Circuits for Neuromorphic Computing



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Éditeur :

Elsevier


Paru le : 2025-10-06



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Description
Energy-Efficient Devices and Circuits for Neuromorphic Computing is an important contribution to this field, covering topics from neuron dynamics to energy-efficient CMOS devices and circuits. The book delves into theoretical analysis of learning processes in spiking neural networks, two-terminal neuromorphic devices, material-engineered neuromorphic devices, and novel biomimetic Si devices. It offers insights into the latest developments in non-volatile memory crossbar arrays and emerging post-CMOS devices. Overall, it provides a comprehensive overview of energy-efficient neuromorphic computing architecture. This book is an essential resource for researchers, engineers, and students working in neuromorphic computing and energy-efficient electronics. - Provides comprehensive coverage of neuromorphic computing based upon energy-efficient electronic devices and circuits - Presents practical guidance and numerous examples, making it an excellent resource for researchers, engineers, and students designing energy-efficient neuromorphic computing systems - Includes detailed coverage of emerging post-CMOS devices such as memristors and MTJs and their potential applications in energy-efficient synapses and neurons
Pages
540 pages
Collection
n.c
Parution
2025-10-06
Marque
Elsevier
EAN papier
9780443299810
EAN EPUB SANS DRM
9780443299827

Prix
177,23 €

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