Neuro-inspired Computing Using Resistive Synaptic Devices (1st ed. 2017)
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- Synopsis
- 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.
- Copyright:
- 2017
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319543130
- Related ISBNs:
- 9783319543123
- Publisher:
- Springer International Publishing
- Date of Addition:
- 12/22/23
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Shimeng Yu