Results 1 to 10 of about 84,713 (260)

Ion-Movement-Based Synaptic Device for Brain-Inspired Computing [PDF]

Nanomaterials, 2022
As the amount of data has grown exponentially with the advent of artificial intelligence and the Internet of Things, computing systems with high energy efficiency, high scalability, and high processing speed are urgently required.
Chansoo Yoon, Gwangtaek Oh, Bae Ho Park
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Internal Resistor Effect of Multilayer-Structured Synaptic Device for Low-Power Operation [PDF]

Nanomaterials
A synaptic device with a multilayer structure is proposed to reduce the operating power of neuromorphic computing systems while maintaining a high-density integration.
Hyejin Kim, Geonhui Han, Seojin Cho, Jiyong Woo, Daeseok Lee   +4 more
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Impact of Synaptic Device Variations on Classification Accuracy in a Binarized Neural Network [PDF]

Scientific Reports, 2019
Brain-inspired neuromorphic systems (hardware neural networks) are expected to be an energy-efficient computing architecture for solving cognitive tasks, which critically depend on the development of reliable synaptic weight storage (i.e., synaptic ...
Sungho Kim, Hee-Dong Kim, Sung-Jin Choi
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An Artificial Synaptic Device Based on InSe/Charge Trapping Layer/h-BN Heterojunction with Controllable Charge Trapping via Oxygen Plasma Treatment [PDF]

Micromachines
Neuromorphic computing, an emerging computational paradigm, aims to overcome the bottlenecks of the traditional von Neumann architecture. Two-dimensional materials serve as ideal platforms for constructing artificial synaptic devices, yet existing ...
Qinghui Wang, Jiayong Wang, Manjun Lu, Tieying Ma, Jia Li   +4 more
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Artificial Nervous Systems [PDF]

Advanced Science
Electronic devices and systems that can emulate the complex cognitive abilities of nervous systems have been an important research topic in recent years.
Lu Yang, Qingwen Cheng, Yue Li, Ning Wu, Zhipeng Xu, Wentao Xu   +5 more
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Flexible synaptic floating gate devices with dual electrical modulation based on ambipolar black phosphorus

iScience, 2022
Summary: Two-dimensional van der Waals materials offer various possibilities for synaptic devices, matching the requirements of intelligent and energy-efficient computation.
Xiong Xiong, Xin Wang, Qianlan Hu, Xuefei Li, Yanqing Wu   +4 more
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A Comparison Study on Multilayered Barrier Oxide Structure in Charge Trap Flash for Synaptic Operation

Crystals, 2021
A synaptic device that contains weight information between two neurons is one of the essential components in a neuromorphic system, which needs highly linear and symmetric characteristics of weight update.
Minkyung Kim, Eunpyo Park, In Soo Kim, Jongkil Park, Jaewook Kim, YeonJoo Jeong, Suyoun Lee, Inho Kim, Jong-Keuk Park, Tae-Yeon Seong, Joon Young Kwak   +10 more
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A Two‐Terminal Optoelectronic Synapses Array Based on the ZnO/Al2O3/CdS Heterojunction with Strain‐Modulated Synaptic Weight

Advanced Electronic Materials, 2023
Artificial optoelectronic synapses with flexibly regulated synaptic weight are crucial to the rapidly evolved artificial visual system. Although three‐terminal devices with transistor geometry have exhibited controllable synaptic response through ...
Xun Han, Yufei Zhang, Zhihao Huo, Xiandi Wang, Guofeng Hu, Zhangsheng Xu, Hui Lu, Qiuchun Lu, Xidi Sun, Li Qiu, Peiguang Yan, Caofeng Pan   +11 more
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Low-Consumption Synaptic Devices Based on Gate-All-Around InAs Nanowire Field-Effect Transistors

Nanoscale Research Letters, 2022
In this work, an artificial electronic synaptic device based on gate-all-around InAs nanowire field-effect transistor is proposed and analyzed. The deposited oxide layer (In2O3) on the InAs nanowire surface serves as a charge trapping layer for ...
Chaofei Zha, Wei Luo, Xia Zhang, Xin Yan, Xiaomin Ren   +4 more
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Multilevel artificial electronic synaptic device of direct grown robust MoS2 based memristor array for in-memory deep neural network

npj 2D Materials and Applications, 2022
With an increasing demand for artificial intelligence, the emulation of the human brain in neuromorphic computing has led to an extraordinary result in not only simulating synaptic dynamics but also reducing complex circuitry systems and algorithms.
Muhammad Naqi, Min Seok Kang, Na liu, Taehwan Kim, Seungho Baek, Arindam Bala, Changgyun Moon, Jongsun Park, Sunkook Kim   +8 more
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