Tunnel junction based memristors as artificial synapses

被引:27
|
作者
Thomas, Andy [1 ,2 ]
Niehoerster, Stefan [1 ]
Fabretti, Savio [1 ]
Shepheard, Norman [1 ,3 ,4 ]
Kuschel, Olga [5 ,6 ]
Kuepper, Karsten [5 ,6 ]
Wollschlaeger, Joachim [5 ,6 ]
Kzysteczko, Patryk [1 ,7 ]
Chicca, Elisabetta [3 ,4 ]
机构
[1] Univ Bielefeld, Thin Films & Phys Nanostruct, D-33615 Bielefeld, Germany
[2] IFW Dresden, Inst Metall Mat, Dresden, Germany
[3] Univ Bielefeld, Cognit Interact Technol Ctr, D-33615 Bielefeld, Germany
[4] Univ Bielefeld, Fac Technol, D-33615 Bielefeld, Germany
[5] Univ Osnabruck, Fachbereich Phys, Osnabruck, Germany
[6] Univ Osnabruck, Ctr Phys & Chem New Mat, Osnabruck, Germany
[7] Phys Tech Bundesanstalt, Braunschweig, Germany
关键词
memristors; artificial synapses; tunnel junction; synaptic plasticity; neuromorphic systems; TANTALUM OXIDE; THIN-FILMS; NETWORK; NEURONS; DEVICE; CONDUCTANCE; MECHANISMS; PLASTICITY; DEPENDENCE; OXIDATION;
D O I
10.3389/fnins.2015.00241
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We prepared magnesia, tantalum oxide, and barium titanate based tunnel junction structures and investigated their memristive properties. The low amplitudes of the resistance change in these types of junctions are the major obstacle for their use. Here, we increased the amplitude of the resistance change from 10% up to 100%. Utilizing the memristive properties, we looked into the use of the junction structures as artificial synapses. We observed analogs of long-term potentiation, long-term depression and spike-time dependent plasticity in these simple two terminal devices. Finally, we suggest a possible pathway of these devices toward their integration in neuromorphic systems for storing analog synaptic weights and supporting the implementation of biologically plausible learning mechanisms.
引用
收藏
页数:9
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