Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse

Sang Hyun Sung, Tae Jin Kim, Hyera Shin, Tae Hong Im and Keon Jae Lee ()
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Sang Hyun Sung: Korea Advanced Institute of Science and Technology (KAIST)
Tae Jin Kim: Korea Advanced Institute of Science and Technology (KAIST)
Hyera Shin: Korea Advanced Institute of Science and Technology (KAIST)
Tae Hong Im: Korea Advanced Institute of Science and Technology (KAIST)
Keon Jae Lee: Korea Advanced Institute of Science and Technology (KAIST)

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract 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.

Date: 2022
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DOI: 10.1038/s41467-022-30432-2

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