Li Promoting Long Afterglow Organic Light-Emitting Transistor for Memory Optocoupler Module

Area of Science:

• Materials Science
• Neuroscience
• Computer Engineering

Background:

• The development of artificial brains relies on advanced intelligence technology that emulates human brain in-memory processes using synaptic devices.
• Improving synaptic transistor functionality is crucial for increasing information processing density in neuromorphic chips.

Purpose of the Study:

• To present novel organic light-emitting transistors (OLETs) that utilize Li-ion migration to achieve long afterglow.
• To demonstrate the emulation of human brain memory functions, including the transition from long-term to permanent memory, and human responding actions.

Main Methods:

• Development of Li-ion migration-based OLETs with long afterglow properties.
• Implementation of postsynaptic current as a firing point and threshold switch.
• Utilizing setting-condition-triggered long afterglow to drive photoisomerization of photochromic molecules.
• Combining OLETs with photodiode amplifiers to emulate human response actions.

Main Results:

• The OLETs exhibit exceptional postsynaptic brightness (7000 cd m⁻²) at low operational voltages (10 V).
• A postsynaptic current of 0.1 mA functions as a built-in threshold switch.
• The devices successfully mimic neurotransmitter transfer and the transition from long-term to permanent memory.
• Integration within a neuromorphic computing system demonstrated stimulus judgment, photon emission, transition, and encoding.

Conclusions:

• The presented OLETs offer a promising pathway for advancing neuromorphic computing and artificial brain technologies.
• The study successfully demonstrates the emulation of complex human brain decision-making processes.
• These findings contribute to the development of more sophisticated artificial intelligence systems.