Emerging memory technologies for neuromorphic computing
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Updated: Feb 2, 2026

A Real-world What-Where-When Memory Test
Published on: May 16, 2017
Chul-Heung Kim1, Suhwan Lim1, Sung Yun Woo1
1The Department of Electrical and Computer Engineering and Inter-university Semiconductor Research Center (ISRC), Seoul National University, Seoul 08826, Republic of Korea.
Abstract:
In this paper, we reviewed the recent trends on neuromorphic computing using emerging memory technologies. Two representative learning algorithms used to implement a hardware-based neural network are described as a bio-inspired learning algorithm and software-based learning algorithm, in particular back-propagation. The requirements of the synaptic device to apply each algorithm were analyzed. Then, we reviewed the research trends of synaptic devices to implement an artificial neural network.
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