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Short-Term Memory Characteristics of IGZO-Based Three-Terminal Devices
Juyeong Pyo1, Jong-Ho Bae2, Sungjun Kim1
1Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Republic of Korea.
This study presents an Indium Gallium Zinc Oxide (IGZO)-based three-terminal synaptic transistor for neuromorphic systems. The device demonstrates accurate control over synaptic operations and short-term memory behaviors.
Area of Science:
- Materials Science
- Neuroscience
- Electrical Engineering
Background:
- Traditional two-terminal synaptic devices offer limited controllability for neuromorphic systems.
- Three-terminal synaptic transistors provide enhanced precision for mimicking biological synapses.
- Indium Gallium Zinc Oxide (IGZO) is a promising material for advanced electronic devices.
Purpose of the Study:
- To fabricate and characterize IGZO-based three-terminal synaptic transistors.
- To demonstrate synaptic operations and short-term memory behaviors in these devices.
- To evaluate the potential of these transistors for hardware-oriented neuromorphic systems.
Main Methods:
- Fabrication of IGZO-based three-terminal devices incorporating HfAlOx and CeOx layers.
- Characterization of chemical composition and thickness using transmission electron microscopy (TEM) and energy dispersive spectroscopy (EDS).
- Evaluation of synaptic functions including excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), short-term potentiation (STP), and short-term depression (STD).
Main Results:
- Successful fabrication of IGZO-based three-terminal synaptic transistors.
- Demonstration of key synaptic operations (EPSC, PPF, STP, STD) indicative of short-term memory.
- Device performance showed appropriate control via pulse amplitude, width, and interval time.
Conclusions:
- IGZO-based three-terminal synaptic transistors effectively emulate short-term synaptic plasticity.
- These devices offer superior controllability compared to two-terminal counterparts.
- The developed transistors are suitable for implementation in advanced neuromorphic systems.
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