Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Suman Hu"'
Autor:
Jaehyun Kang, Taeyoon Kim, Suman Hu, Jaewook Kim, Joon Young Kwak, Jongkil Park, Jong Keuk Park, Inho Kim, Suyoun Lee, Sangbum Kim, YeonJoo Jeong
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Conventional filamentary memristors are limited in dynamics by the high electric-field dependence of the conductive filament. Here, Jeong et al. presents a method which creates a cluster-type memristor, enabling large conductance range and long data
Externí odkaz:
https://doaj.org/article/558f28d63b5a48aa853dc0f5eca0a3c2
Autor:
Suman Hu, Jaehyun Kang, Taeyoon Kim, Suyoun Lee, Jong Keuk Park, Inho Kim, Jaewook Kim, Joon Young Kwak, Jongkil Park, Gyu-Tae Kim, Shinhyun Choi, Yeonjoo Jeong
Publikováno v:
IEEE Access, Vol 10, Pp 6381-6392 (2022)
Neuromorphic hardware is a system with massive potential to enable efficient computing by mimicking the human brain. The novel system processes information using neuron spikes (Action Potentials) and the synaptic connections between neurons are train
Externí odkaz:
https://doaj.org/article/9030bff590784dcdbd0f7d3f2ca677cb
Autor:
Taeyoon Kim, Suman Hu, Jaewook Kim, Joon Young Kwak, Jongkil Park, Suyoun Lee, Inho Kim, Jong-Keuk Park, YeonJoo Jeong
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Among many artificial neural networks, the research on Spike Neural Network (SNN), which mimics the energy-efficient signal system in the brain, is drawing much attention. Memristor is a promising candidate as a synaptic component for hardware implem
Externí odkaz:
https://doaj.org/article/8205df68ea0c40e88455dee99edc8d82
Autor:
Dae-Hwan Ahn, Suman Hu, Kyeol Ko, Donghee Park, Hoyoung Suh, Gyu-Tae Kim, Jae-Hoon Han, Jin-Dong Song, YeonJoo Jeong
Publikováno v:
ACS applied materialsinterfaces. 14(21)
A charge trap device based on field-effect transistors (FET) is a promising candidate for artificial synapses because of its high reliability and mature fabrication technology. However, conventional MOSFET-based charge trap synapses require a strong
Autor:
Shicheng Zhu, Suman Huo, Zhongzheng Wang, Caiyan Huang, Chuanxu Li, Hanjing Song, Xueqin Yang, Rui He, Cheng Ding, Mengsheng Qiu, Xiao-Jing Zhu
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110785- (2024)
Summary: Supernumerary teeth are common developmental anomalies of dentition. However, the factors and mechanisms driving their formation remain largely unknown. Here, we report that conditional knockout of Fst, encoding an antagonist for the transfo
Externí odkaz:
https://doaj.org/article/4bc3d08c10744227925e2aead3b86fca
Autor:
YeonJoo Jeong, Jaewook Kim, Taeyoon Kim, Suman Hu, Jongkil Park, Joon Young Kwak, Jong-Keuk Park, Inho Kim, Suyoun Lee
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience
Among many artificial neural networks, the research on Spike Neural Network (SNN), which mimics the energy-efficient signal system in the brain, is drawing much attention. Memristor is a promising candidate as a synaptic component for hardware implem