عنوان

Neuro-inspired Computing Using Resistive Synaptic Devices

Standard Number

electronic

Title Proper

Neuro-inspired Computing Using Resistive Synaptic Devices

Place of Publication, Distribution, etc.

Cham

Name of Publisher, Distributor, etc.

Springer

Date of Publication, Distribution, etc.

2017

Specific Material Designation and Extent of Item

XI, 269 p. 190 illus

Text of Note

edited by Shimeng Yu

Text of Note

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 summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties )e.g. noise, variation, yield( and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology. Provides single-source reference to recent breakthroughs in resistive synaptic devices, not only at individual cell-level, but also at integrated array-level; Includes detailed discussion of the peripheral circuits and array architecture design of the neuro-crossbar system; Focuses on new experimental results that are likely to solve practical, artificial intelligent problems, such as image classification

Entry Element

، Electronic circuits

Entry Element

، Engineering

Entry Element

، Microprocessors

Class number

Relator Code

AU

AU Yu, Shimeng