Abstract

Artificial brain is conceived as advanced intelligence technology, capable to emulate in-memory processes occurring in the human brain by integrating synaptic devices. Within this context, improving the functionality of synaptic transistors to increase information processing density in neuromorphic chips is a major challenge in this field. In this article, we present Li-ion migration promoting long afterglow organic light-emitting transistors, which display exceptional postsynaptic brightness of 7000 cd·m-2 under low operational voltages of 10V. Postsynaptic current of 0.1mA operating as built-in threshold switch is implemented as a firing point in these devices. The setting-condition-triggered long afterglow was employed to drive the photoisomerization process of photochromic molecules that mimic neurotransmitter transfer in human brain for realizing a key memory rule, i.e., the transition from long-term memory to permanent memory. The combination of setting-condition-triggered long afterglow with photodiode amplifiers is also processed to emulate the human responding action after setting-training process. Overall, we demonstrate the successful integration in neuromorphic computing comprising stimulus judgment, photon emission, transition, and encoding, thereby exploiting these artificial multifunctional devices to emulate the complicated decision tree of human brain. This article is protected by copyright. All rights reserved.

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