DocumentCode
1452092
Title
Teaching Memory Circuit Elements via Experiment-Based Learning
Author
Pershin, Y.V. ; Ventra, M.D.
Author_Institution
Dept. of Phys. & Astron., Univ. of South Carolina, Columbia, SC, USA
Volume
12
Issue
1
fYear
2012
Firstpage
64
Lastpage
74
Abstract
The class of memory circuit elements which comprises memristive, memcapacitive, and meminductive systems, is gaining considerable attention in a broad range of disciplines. This is due to the enormous flexibility these elements provide in solving diverse problems in analog/neuromorphic and digital/ quantum computation; the possibility to use them in an integrated computing-memory paradigm, massively-parallel solution of different optimization problems, learning, neural networks, etc. The time is therefore ripe to introduce these elements to the next generation of physicists and engineers with appropriate teaching tools that can be easily implemented in undergraduate teaching laboratories. In this paper, we suggest the use of easy-to-build emulators to provide a hands-on experience for the students to learn the fundamental properties and realize several applications of these memelements. We provide explicit examples of problems that could be tackled with these emulators that range in difficulty from the demonstration of the basic properties of memristive, memcapacitive, and meminductive systems to logic/computation and crossbar memory. The emulators can be built from off-the-shelf components, with a total cost of a few tens of dollars, thus providing a relatively inexpensive platform for the implementation of these exercises in the classroom. We anticipate that this experiment-based learning can be easily adopted and expanded by the instructors with many more case studies.
Keywords
electronic engineering education; memristors; student experiments; analog/neuromorphic computation; computing-memory paradigm; crossbar memory; digital/quantum computation; easy-to-build emulator; experiment-based learning; hands-on experience; memcapacitive system; memelements; meminductive system; memory circuit element; memristive system; teaching tool; undergraduate teaching laboratories; Memory management; Memristors; Neural networks; Neuromorphics; Next generation networking; Optimization; Quantum computing;
fLanguage
English
Journal_Title
Circuits and Systems Magazine, IEEE
Publisher
ieee
ISSN
1531-636X
Type
jour
DOI
10.1109/MCAS.2011.2181096
Filename
6155110
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