New academic paper titled “Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse” from researchers at Korea Advanced Institute of Science and Technology (KAIST).
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.
Find the open access technical paper here. Published May 2022.
Sung, S.H., Kim, T.J., Shin, H. et al. Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse. Nat Commun 13, 2811 (2022). https://doi.org/10.1038/s41467-022-30432-2.
Visit Semiconductor Engineering’s Technical Paper library here and discover many more chip industry academic papers.
Leave a Reply