Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems-Reference-Cited by-同舟云学术

Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems

Published:2023-10 Issue:10 Volume:42 Page:3464-3468
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Yang Kezhou¹^ORCID,G M Dhuruva Priyan¹^ORCID,Sengupta Abhronil¹^ORCID

Affiliation:

1. Department of Materials Science and Engineering, School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, USA

Funder

National Science Foundation

Oracle Cloud Credits and Related Resources Provided by the Oracle for Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

https://ieeexplore.ieee.org/ielam/43/10255327/10005140-aam.pdf

Reference29 articles.

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4. A building block for hardware belief networks

5. Stochastic inference and learning enabled by magnetic tunnel junctions;sengupta;Proc IEEE Int Electron Devices Meeting (IEDM),2009

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