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Organic phototransistors and their applications as artificial synapses

Sensors and Actuators A: Physical
Sensors and Internet of Things (IoT) have been revolutionizing our world by establishing a smart and more sustainable environment. Low-temperature processing and chemical functionality of organic semiconductors, high-k of natural dielectric materials, and mechanically flexible substrates make organic field-effect transistor (OFET)-based sensors an ...
Tavasli, Aybuke, Atila, Doruk Tan, Faraji, Sheida, Majewski, Leszek A., Trabzon, Levent   +4 more
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Engineering halogen-doped carbon dots for enhanced bioinspired synapses toward neuromorphic computing and neural interfaces

Materials Today Bio
Neural interfaces demand memristor-based artificial synapses with comprehensive performance for neuromorphic computing and man-machine interaction. This study proposes a halogen doping engineering to enhance carbon dots (CDs)-based memristors performance
Haotian Hao, Xiaochen Lang, Yanli Cao, Lin Chen, Mixue Wang, Zhibin Ding, Yuhao Peng, Bai Sun, Meiwen An, Guangdong Zhou, Yongzhen Yang   +10 more
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High sensitivity and wide response range artificial synapse based on polyimide with embedded graphene quantum dots

Scientific Reports, 2023
Artificial electronic synapses are commonly used to simulate biological synapses to realize various learning functions, regarded as one of the key technologies in the next generation of neurological computation.
Lijie Kou, Nan Ye, Anjam Waheed, Rahmat Zaki Auliya, Chaoxing Wu, Poh Choon Ooi, Fushan Li   +6 more
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ARTIFICIAL NEURAL NETWORKS WITH DYNAMIC SYNAPSES: A REVIEW

Mokslas - Lietuvos ateitis, 2023
Artificial neural networks (ANNs) are widely applied to solve real-world problems. Most of the actions we take and the processes around us are time-varying. ANNs with dynamic properties allow processing time-dependent data and solving tasks such as speech and text processing, prediction models, face and emotion recognition, game strategy development ...
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Linear Weight Update Synaptic Responses in Ferrimagnetic Neuromorphic Devices

Advanced Electronic Materials
Ferrimagnetic materials with antiparallel exchange coupling, exhibit spin‐orbit‐torque‐induced dynamics, offering an emerging platform for realizing neuromorphic devices, such as artificial synapses.
Junwei Zeng, Binxuan Zhao, Yakun Liu, Teng Xu, Wanjun Jiang, Liang Fang, Jiahao Liu   +6 more
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Recent Progress in Photonic Synapses for Neuromorphic Systems

Advanced Intelligent Systems, 2020
Implementing synaptic functions with electronic devices is critical to achieve neuromorphic systems on the hardware platform, as synapses play important roles in brain computing and memory.
Junyao Zhang, Shilei Dai, Yiwei Zhao, Jianhua Zhang, Jia Huang   +4 more
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Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina

Nature Communications
Neuroprosthetics equipped with artificial synapses hold promise to address some most intricate medical problems, such as human sensory disorders. Yet, it is necessitated and of paramount importance for neuroprosthetics to be able to differentiate ...
Seongchan Kim, Ohchan Kwon, Seonkwon Kim, Seonmin Jang, Seungho Yu, Choong Hoo Lee, Yoon Young Choi, Soo Young Cho, Ki Chul Kim, Cunjiang Yu, Dae Woo Kim, Jeong Ho Cho   +11 more
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Modulating short-term and long-term plasticity of polymer-based artificial synapses for neuromorphic computing and beyond

Neuromorphic Computing and Engineering
Neuromorphic devices that emulate biological neural systems have been actively studied to overcome the limitations of conventional von Neumann computing structure.
Ui-Chan Jeong, Jun-Seok Ro, Hea-Lim Park, Tae-Woo Lee   +3 more
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All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons

Advanced Science
Artificial neurons and synapses are crucial for efficiently implementing spiking neural networks (SNNs) in hardware. The distinct functional requirements of artificial neurons and synapses present significant challenges in the implementation of area‐ and
Jangsaeng Kim, Eun Chan Park, Wonjun Shin, Ryun‐Han Koo, Jiseong Im, Chang‐Hyeon Han, Jong‐Ho Lee, Daewoong Kwon   +7 more
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Emerging 2D Material‐Based Synaptic Devices: Principles, Mechanisms, Improvements, and Applications

SmartMat
The von Neumann architecture is encountering challenges, including the “memory wall” and “power wall” due to the separation of memory and central processing units, which imposes a major hurdle on today's massive data processing.
Zheyu Yang, Zhe Zhang, Shida Huo, Fanying Meng, Yue Wang, Yuexuan Ma, Baiyan Liu, Fanyi Meng, Yuan Xie, Enxiu Wu   +9 more
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