Material Memristive Device Circuits with Synaptic Plasticity: Learning and Memory-Reference-Cited by-同舟云学术

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Material Memristive Device Circuits with Synaptic Plasticity: Learning and Memory

Published:2011-04-23 Issue:1-2 Volume:1 Page:24-30
ISSN:2191-1630
Container-title:BioNanoScience
language:en
Short-container-title:BioNanoSci.

Author:

Erokhin Victor,Berzina Tatiana,Camorani Paolo,Smerieri Anteo,Vavoulis Dimitris,Feng Jianfeng,Fontana Marco P.

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Bioengineering

Link

http://link.springer.com/content/pdf/10.1007/s12668-011-0004-7.pdf

Reference38 articles.

1. Strukov, D. B., Snider, G. S., Stewart, D. R., Williams, R. S. (2008). The missing memristor found. Nature, 453, 80–83.

2. Berzina, T., Erokhina, S., Camorani, P., Konovalov, O., Erokhin, V., Fontana, M. P. (2009). Electrochemical control of conductivity in an organic memristor: a time-resolved X-ray fluorescence study of ionic drift as a function of applied voltage. ACS Appl Mater, 1, 2115–2118.

3. Pershin, Y. V., & Di Ventra, M. (2011). Memory effects in complex materials and nanoscale systems. Advances in Physics, 60, 145–227.

4. Chua, L. (1971). Memristor—the missing circuit element. IEEE Transactions on Circuit Theory, 18, 507–519.

5. Benjamin, P. R., Staras, K., Kemenes, G. (2000). A systems approach to the cellular analysis of associative learning in the pond snail Lymnaea. Learning & Memory, 7, 124–131.

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