All‐Electric Nonassociative Learning in Nickel Oxide-Reference-Cited by-同舟云学术

All‐Electric Nonassociative Learning in Nickel Oxide

Published:2022-09-19 Issue:10 Volume:4 Page:2200069
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Mondal Sandip¹^ORCID,Zhang Zhen¹,Islam A. N. M. Nafiul²,Andrawis Robert³,Gamage Sampath⁴,Aghamiri Neda Alsadat⁴,Wang Qi¹,Zhou Hua⁵,Rodolakis Fanny⁵,Tran Richard⁶,Kaur Jasleen⁶⁷,Chen Chi⁶,Ong Shyue Ping⁶,Sengupta Abhronil²,Abate Yohannes⁴,Roy Kaushik³,Ramanathan Shriram¹

Affiliation:

1. School of Materials Engineering Purdue University West Lafayette IN 47907 USA

2. School of Electrical Engineering and Computer Science The Pennsylvania State University University Park PA 16802 USA

3. School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 USA

4. Department of Physics and Astronomy University of Georgia Athens GA 30602 USA

5. X-ray Science Division Advanced Photon Source Argonne National Laboratory Lemont IL 60439 USA

6. Department of NanoEngineering University of California San Diego 9500 Gilman Dr, Mail Code 0448 La Jolla CA 92093-0448 USA

7. Department of Materials Science & Engineering University of California San Diego 9500 Gilman Dr, Mail Code 0448 La Jolla CA 92093-0448 USA

Funder

BioXFEL Science and Technology Center

Air Force Office of Scientific Research

National Science Foundation

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202200069

Reference77 articles.

1. Classical conditioning in paramecia

2. Molecular circuits for associative learning in single-celled organisms

3. Epigenetic learning in non-neural organisms

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