Magnetic tunnel junctions (MTJs) operating in the superparamagnetic regime produce telegraphic signals that emulate neural spiking signals. Previous studies have characterized the random spiking signals produced by MTJs in terms of the percentage of time spent in the anti-parallel (AP) magnetization state (referred to as the “AP rate”) but ignore the switching rate of the MTJ. In this work, we demonstrate that with proper tuning of both an external bias field and a bias voltage, we can control the average dwell time in the AP-state and P-state pulses separately. Our data show that the AP rate can be tuned with bias voltages ranging from 310 mV to 460 mV and bias fields from −200 Oe to −230 Oe. The average dwell times in each state ranged from 225 ns to 285 μs and could be controlled separately. This suggests that neural spiking signals produced by MTJs can be decoded by both the spike rate and the spike count, which creates the possibility for increasing the information capacity in the rate coding scheme.
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21 October 2018
Research Article|
October 02 2018
Telegraphic switching signals by magnet tunnel junctions for neural spiking signals with high information capacity
Brandon R. Zink;
Brandon R. Zink
Department of Electrical and Computer Engineering, University of Minnesota
, Minneapolis, Minnesota 55455, USA
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Yang Lv
;
Yang Lv
Department of Electrical and Computer Engineering, University of Minnesota
, Minneapolis, Minnesota 55455, USA
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Jian-Ping Wang
Jian-Ping Wang
a)
Department of Electrical and Computer Engineering, University of Minnesota
, Minneapolis, Minnesota 55455, USA
a)Author to whom correspondence should be addressed: [email protected]
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Department of Electrical and Computer Engineering, University of Minnesota
, Minneapolis, Minnesota 55455, USA
a)Author to whom correspondence should be addressed: [email protected]
J. Appl. Phys. 124, 152121 (2018)
Article history
Received:
May 31 2018
Accepted:
August 07 2018
Citation
Brandon R. Zink, Yang Lv, Jian-Ping Wang; Telegraphic switching signals by magnet tunnel junctions for neural spiking signals with high information capacity. J. Appl. Phys. 21 October 2018; 124 (15): 152121. https://doi.org/10.1063/1.5042444
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