The 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, 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 10 V is presented. The postsynaptic current of 0.1 mA operating as a built-in threshold switch is implemented as a firing point in these devices. The setting-condition-triggered long afterglow is employed to drive the photoisomerization process of photochromic molecules that mimic neurotransmitter transfer in the human brain for realizing a key memory rule, that is, 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 the setting-training process. Overall, the successful integration in neuromorphic computing comprising stimulus judgment, photon emission, transition, and encoding, to emulate the complicated decision tree of the human brain is demonstrated.

中文翻译：

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李推广长余辉有机发光晶体管用于记忆光耦模块

人工大脑被认为是先进的智能技术，能够通过集成突触设备来模拟人脑中发生的记忆过程。在此背景下，改进突触晶体管的功能以提高神经形态芯片中的信息处理密度是该领域的主要挑战。在本文中，提出了促进长余辉有机发光晶体管的锂离子迁移，该晶体管在 10 V 的低工作电压下显示出 7000 cd m ^-2的出色突触后亮度。作为内置阈值开关运行的 0.1 mA 突触后电流被实现为这些器件中的触发点。利用设定条件触发的长余辉来驱动光致变色分子的光致异构化过程，模拟人脑中的神经递质传递，从而实现关键的记忆规则，即从长期记忆到永久记忆的转变。设置条件触发的长余辉与光电二极管放大器的组合也经过处理，以模拟设置训练过程后的人类响应动作。总体而言，展示了神经形态计算的成功集成，包括刺激判断、光子发射、转换和编码，以模拟人脑的复杂决策树。