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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
EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising
Haoming Zhang, Mingqi Zhao 외 4명
arXiv (Cornell University)
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2020
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7 회 인용
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Peng Yi, Kecheng Chen 외 4명
arXiv (Cornell University)
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2021
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7 회 인용
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
Ard Kastrati, Martyna Beata Płomecka 외 5명
arXiv (Cornell University)
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2021
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7 회 인용
EEGsig machine learning-based toolbox for End-to-End EEG signal processing.
Fardin Ghorbani, Soheil Hashemi 외 2명
arXiv (Cornell University)
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2020
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7 회 인용
Effects of the spike timing-dependent plasticity on the synchronisation in a random Hodgkin-Huxley neuronal network
Rafael R. Borges, Fernando S. Borges 외 6명
arXiv (Cornell University)
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2015
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7 회 인용
Emotion Analysis on EEG Signal Using Machine Learning and Neural Network
Samiha Ahmed, Eshaan Tanzim Sabur
arXiv (Cornell University)
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2023
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7 회 인용
Emotion in good luck and bad luck: predictions from simplicity theory
Jean-Louis Dessalles
arXiv (Cornell University)
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2011
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7 회 인용
Enabling Fast and Flexible Distributed Deep Learning with Programmable Switches
Heng Pan, Penglai Cui 외 12명
arXiv (Cornell University)
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2022
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7 회 인용
Entropy-based parametric estimation of spike train statistics
Juan Carlos Díaz Vásquez, Cessac, B. 외 1명
arXiv (Cornell University)
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2010
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7 회 인용
Estimating Human Intent for Physical Human-Robot Co-Manipulation
Eric C. Townsend, Erich A. Mielke 외 2명
arXiv (Cornell University)
|
2017
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7 회 인용
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