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Mimicking Classical Conditioning Based on a Single Flexible Memristor
Author(s) -
Wu Chaoxing,
Kim Tae Whan,
Guo Tailiang,
Li Fushan,
Lee Dea Uk,
Yang J. Joshua
Publication year - 2017
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201602890
Subject(s) - memristor , generalization , materials science , conditioning , extinction (optical mineralogy) , nanotechnology , artificial neural network , artificial intelligence , biological system , computer science , electronic engineering , engineering , physics , mathematics , optics , biology , mathematical analysis , statistics
The mimicking of classical conditioning , including acquisition, extinction, recovery, and generalization, can be efficiently achieved by using a single flexible memristor. In particular, the experiment of Pavlov's dog is successfully demonstrated. This demonstration paves the way for reproducing advanced neural processes and provides a frontier approach to the design of artificial‐intelligence systems with dramatically reduced complexity.