Neuro-inspired Computing Using Resistive Synaptic Devices
This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art sum...
Corporate Author: | SpringerLink (Online service) |
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Other Authors: | Yu, Shimeng (Editor) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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