双极扩散
神经形态工程学
抑制性突触后电位
晶体管
兴奋性突触后电位
材料科学
计算机科学
光电子学
长时程增强
神经科学
纳米技术
人工神经网络
电气工程
物理
化学
电压
生物
工程类
人工智能
等离子体
量子力学
受体
生物化学
作者
Yong Zhang,Chi‐Hsin Huang,Kenji Nomura
摘要
Developing tunable and multi-input artificial synaptic devices is a significant step to realize diverse functionalities inspired by a bio-neural network and is essential to advance the development of multifunctional human-like neuromorphic devices. This study developed an artificial synaptic device exhibiting tunable and multi-state excitatory and inhibitory responses by using a dual-gated (DG) ambipolar boron-doped SnO thin-film transistor. We demonstrated dynamic modulation of multi-state potentiation/depression responses in both reconfigurable excitatory and inhibitory modes by the DG operation in a single ambipolar transistor. In comparison with conventional single-gate devices, the DG configuration improved the linearity and the symmetricity of synaptic weight updates in addition to the capability of conduction level tuning. Therefore, the presented DG ambipolar oxide synaptic transistor exhibited distinct advantages in learning-accuracy and energy-efficiency, and high pattern recognition accuracy over 90% and low energy operation of ∼200 pJ per pulse in excitatory and inhibitory responses were achieved. It demonstrates the high potential of the DG ambipolar oxide synaptic transistor for next-generation energy-efficient multi-input neuromorphic devices to emulate diverse functionalities in bio-neural network systems.
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