Mimicking Classical Conditioning Based on a Single Flexible Memristor
Source abstract
Abstract
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. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Neural dynamics and brain function
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic and Computer Engineering Hanyang University Seoul 133‐791 Korea
Institute of Optoelectronic Display Fuzhou University Fuzhou 350002 P. R. China
Department of Electrical and Computer Engineering University of Massachusetts Amherst MA 01003‐9292 USA
Funding
Ministry of Education, Science and Technology · Ministry of Science, ICT and Future Planning
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