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Neuroscience 논문 리뷰
Neuroscience 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
2,181개의 결과
A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System
Fabian Tschopp, Michael B. Reiser 외 1명
arXiv (Cornell University)
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2018
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18 회 인용
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang, Lina Yao 외 4명
arXiv (Cornell University)
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2019
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18 회 인용
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture
Kai Qiao, Chi Zhang 외 5명
arXiv (Cornell University)
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2018
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18 회 인용
An objective function for STDP.
Yoshua Bengio, Thomas Mesnard 외 3명
arXiv (Cornell University)
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2015
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18 회 인용
Applying Transfer Learning To Deep Learned Models For EEG Analysis
Axel Uran, Coert van Gemeren 외 3명
arXiv (Cornell University)
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2019
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18 회 인용
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals
Shuyue Jia, Yimin Hou 외 2명
arXiv (Cornell University)
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2020
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18 회 인용
Audio-Visual Embodied Navigation.
Changan Chen, Unnat Jain 외 6명
arXiv (Cornell University)
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2019
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18 회 인용
Autonomy Infused Teleoperation with Application to BCI Manipulation
Katharina Muelling, Arun Venkatraman 외 8명
arXiv (Cornell University)
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2015
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18 회 인용
Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity
Rastko Ćirić, Daniel H. Wolf 외 12명
arXiv (Cornell University)
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2016
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18 회 인용
Bounded Recursive Self-Improvement
Eric Nivel, Kristinn R. Þórisson 외 11명
arXiv (Cornell University)
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2013
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18 회 인용
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