Mimicking Biological Synaptic Functionality with an Indium Phosphide Synaptic Device on Silicon for Scalable Neuromorphic Computing
Author:
Affiliation:
1. Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089, United States
Funder
University of Southern California
National Science Foundation
Publisher
American Chemical Society (ACS)
Subject
General Physics and Astronomy,General Engineering,General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsnano.7b08272
Reference59 articles.
1. Synaptic electronics: materials, devices and applications
2. Towards artificial neurons and synapses: a materials point of view
3. Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
4. Neuromorphic Computing: from Materials to Systems Architecture.Report of a Roundtable Convened to Consider Neuromorphic Computing Basic Research Needs;Schuller, I. K.; Stevens, R., Eds.U.S. Department of Energy:Washington, DC, 2015.
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