Roshni Oommen;Adikiran S B;Akash R.;Gautham G;Aswathi R Nair
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引用次数: 0
Abstract
In this work we propose a biasing scheme to modulate the retention behavior of oxide semiconductor based optoelectronic synapses. The method has been demonstrated using a zinc oxide thin film transistor, which exhibits persistent photoconductivity to UV light. The application of a negative gate bias prevents the recombination of photo-generated carriers, leading to a negligible decay in the post synaptic current and consequently, the retention time could extend beyond $10^{5}$s. The improvement in memory retention is observed in various synaptic functions such as short-term memory, long-term memory, duration-time-dependent plasticity and paired pulse facilitation. A five fold improvement in the % decay of post synaptic current was observed at $V_{gs}$ = −5 V, when compared to $V_{gs}$ = +5 V. Furthermore, we have assessed the impact of these improved retention properties on the performance of an artificial neural network, designed for pattern recognition of MNIST handwritten digits. The accuracy decayed drastically with time from 96% to nearly 40% at $V_{gs}$ = +5 V whereas it drops to only 94% at $V_{gs}$ = −5 V.
期刊介绍:
The IEEE Transactions on Nanotechnology is devoted to the publication of manuscripts of archival value in the general area of nanotechnology, which is rapidly emerging as one of the fastest growing and most promising new technological developments for the next generation and beyond.