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Material memristive device circuits with synaptic plasticity : learning and memory
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Erokhin, Victor, Berzina, Tatiana, Camorani, Paolo, Smerieri, Anteo, Vavoulis, Dimitris V., Feng, Jianfeng and Fontana, Marco P. (2011) Material memristive device circuits with synaptic plasticity : learning and memory. BioNanoScience, Vol.1 (No.1-2). pp. 24-30. doi:10.1007/s12668-011-0004-7 ISSN 2191-1630.
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Official URL: http://dx.doi.org/10.1007/s12668-011-0004-7
Abstract
An important endeavor in modern materialsscience is the synthesis of adaptive assemblies withinformation processing capabilities similar to those of biological neural systems. Recent developments concernmaterials functionally similar to the memristor
, a notionalelectrical circuit whose conductivity is dependent on past activity. This feature is analogous to synaptic plasticity: theability of neurons to modify their synaptic connections as a result of accumulated experience — the basis of learning andthe formation of memory. In this paper, we present the first evidence that memristive device-based organic materialsshow adaptive behavior similar to biological cognitivesystems, using learning in the feeding neural network of the pond snail,
Lymnaea stagnalis , as a specific biologicalreference. The synthetic reproduction of synaptic plasticityreported here can create new paradigms for novel comput-ing systems and give impetus to the search for bio-inspirednanoscale molecular architectures capable of learning and decision making
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | BioNanoScience | ||||
Publisher: | Springer New York LLC | ||||
ISSN: | 2191-1630 | ||||
Official Date: | 2011 | ||||
Dates: |
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Volume: | Vol.1 | ||||
Number: | No.1-2 | ||||
Page Range: | pp. 24-30 | ||||
DOI: | 10.1007/s12668-011-0004-7 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published |
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