Literature DB >> 30422812

Emerging memory technologies for neuromorphic computing.

Chul-Heung Kim, Suhwan Lim, Sung Yun Woo, Won-Mook Kang, Young-Tak Seo, Sung-Tae Lee, Soochang Lee, Dongseok Kwon, Seongbin Oh, Yoohyun Noh, Hyeongsu Kim, Jangsaeng Kim, Jong-Ho Bae, Jong-Ho Lee.   

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.

Year:  2018        PMID: 30422812     DOI: 10.1088/1361-6528/aae975

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  5 in total

1.  Low-Power Resistive Switching Characteristic in HfO2/TiOx Bi-Layer Resistive Random-Access Memory.

Authors:  Xiangxiang Ding; Yulin Feng; Peng Huang; Lifeng Liu; Jinfeng Kang
Journal:  Nanoscale Res Lett       Date:  2019-05-09       Impact factor: 4.703

2.  Biocompatible artificial synapses based on a zein active layer obtained from maize for neuromorphic computing.

Authors:  Youngjin Kim; Chul Hyeon Park; Jun Seop An; Seung-Hye Choi; Tae Whan Kim
Journal:  Sci Rep       Date:  2021-10-19       Impact factor: 4.379

3.  On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices.

Authors:  Dongseok Kwon; Suhwan Lim; Jong-Ho Bae; Sung-Tae Lee; Hyeongsu Kim; Young-Tak Seo; Seongbin Oh; Jangsaeng Kim; Kyuho Yeom; Byung-Gook Park; Jong-Ho Lee
Journal:  Front Neurosci       Date:  2020-07-07       Impact factor: 4.677

4.  Short-Term Memory Dynamics of TiN/Ti/TiO2/SiOx/Si Resistive Random Access Memory.

Authors:  Hyojong Cho; Sungjun Kim
Journal:  Nanomaterials (Basel)       Date:  2020-09-12       Impact factor: 5.076

5.  Hardware Demonstration of SRDP Neuromorphic Computing with Online Unsupervised Learning Based on Memristor Synapses.

Authors:  Ruiyi Li; Peng Huang; Yulin Feng; Zheng Zhou; Yizhou Zhang; Xiangxiang Ding; Lifeng Liu; Jinfeng Kang
Journal:  Micromachines (Basel)       Date:  2022-03-11       Impact factor: 2.891

  5 in total

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