神经形态工程学
变质塑性
突触可塑性
突触
神经科学
仿真
非突触性可塑性
可塑性
计算机科学
稳态可塑性
同突触可塑性
神经可塑性
突触标度
材料科学
人工神经网络
生物
人工智能
心理学
社会心理学
生物化学
受体
复合材料
作者
Sang Hyun Sung,Taejin Kim,Hyera Shin,Tae Hong Im,Keon Jae Lee
标识
DOI:10.1038/s41467-022-30432-2
摘要
Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of synaptic plasticity has shown promising results after the advent of memristors. However, neuronal intrinsic plasticity, which involves in learning process through interactions with synaptic plasticity, has been rarely demonstrated. Synaptic and intrinsic plasticity occur concomitantly in learning process, suggesting the need of the simultaneous implementation. Here, we report a neurosynaptic device that mimics synaptic and intrinsic plasticity concomitantly in a single cell. Threshold switch and phase change memory are merged in threshold switch-phase change memory device. Neuronal intrinsic plasticity is demonstrated based on bottom threshold switch layer, which resembles the modulation of firing frequency in biological neuron. Synaptic plasticity is also introduced through the nonvolatile switching of top phase change layer. Intrinsic and synaptic plasticity are simultaneously emulated in a single cell to establish the positive feedback between them. A positive feedback learning loop which mimics the retraining process in biological system is implemented in threshold switch-phase change memory array for accelerated training.
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