Spike-frequency adaptation of nanocrystalline ZnO photoelectric synapse

Igor S. Balashov; Alexander A. Chezhegov; Artem S. Chizhov; Andrey A. Grunin; Konstantin V. Anokhin; Andrey A. Fedyanin

doi:10.1117/12.2594733

1 August 2021 Spike-frequency adaptation of nanocrystalline ZnO photoelectric synapse

Igor S. Balashov, Alexander A. Chezhegov, Artem S. Chizhov, Andrey A. Grunin, Konstantin V. Anokhin, Andrey A. Fedyanin

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 118040B (2021) https://doi.org/10.1117/12.2594733
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

One of the possible future architectural implementations of new computing devices is brain-inspired neuromorphic computers. Artificial synapse is one of the key neuromorphic computing elements. This work is devoted to the search for new bioinspired artificial synapse properties and the demonstration of already known neuromorphic properties on the original photoelectric synapse based on nanocrystalline ZnO film. Photoelectric synapse demonstrated basic neuromorphic properties: spike signals operation, the presence of short-term memory, long-term memory and paired-pulse facilitation. Artificial photoelectric synapse adaptation properties have been demonstrated in a series of experiments with different conductivity cutoff levels.

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Citation Download Citation

Igor S. Balashov, Alexander A. Chezhegov, Artem S. Chizhov, Andrey A. Grunin, Konstantin V. Anokhin, and Andrey A. Fedyanin "Spike-frequency adaptation of nanocrystalline ZnO photoelectric synapse", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 118040B (1 August 2021); https://doi.org/10.1117/12.2594733

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