Ambipolar oxide thin-film transistor-based artificial synapses

Authors

Chihsin Huang, Department of Electrical and Computer Engineering, University of California San Diego, USAFollow
Kenji Nomura, Department of Electrical and Computer Engineering, University of California San Diego, USA

Conference Dates

May 15-18, 2023

Abstract

Many intelligent behaviors, such as learning and perception, are affected by external environmental stimuli in the human nervous system. Therefore, one of the significant challenges is to develop an artificial synapse device with reconfigurable excitatory and inhibitory responses for artificial intelligence systems with human-like perceptual capability.

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Recommended Citation

Chihsin Huang and Kenji Nomura, "Ambipolar oxide thin-film transistor-based artificial synapses" in "Semiconductor Technology for Ultra Large Scale Integrated Circuits and Thin Film Transistors (ULSIC VS TFT 8)", Y. Kuo, Texas A&M University, USA Eds, ECI Symposium Series, (2022). https://dc.engconfintl.org/ulsic_vs_tft_8/4