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Neuroscience
Neuroscience 논문 리뷰
Neuroscience 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
2,155개의 결과
Quantifying how much sensory information in a neural code is relevant for behavior
Giuseppe Pica, Eugenio Piasini 외 7명
arXiv (Cornell University)
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2017
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33 회 인용
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Andrew Beers, Ken Chang 외 6명
arXiv (Cornell University)
|
2017
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33 회 인용
A Spatiotemporal Dynamic Solution to the MEG Inverse Problem: An Empirical Bayes Approach
Camilo Lamus, Matti Hämäläinen 외 3명
arXiv (Cornell University)
|
2015
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32 회 인용
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition
Yimin Hou, Shuyue Jia 외 5명
arXiv (Cornell University)
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2020
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32 회 인용
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Vivian Liu, Lydia B. Chilton
arXiv (Cornell University)
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2021
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32 회 인용
Epileptic seizure detection using deep learning techniques: A Review
Afshin Shoeibi, Navid Ghassemi 외 13명
arXiv (Cornell University)
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2020
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32 회 인용
Functional brain modules reconfigure at multiple scales across the human lifespan
Richard F. Betzel, Bratislav Mišić 외 4명
arXiv (Cornell University)
|
2015
|
32 회 인용
Quasi-Static Approximation Error of Electric Field Analysis for Transcranial Current Stimulation
Gabriel Gaugain, Lorette Quéguiner 외 5명
arXiv (Cornell University)
|
2022
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32 회 인용
SpinalNet: Deep Neural Network with Gradual Input
H M Dipu Kabir, Moloud Abdar 외 5명
arXiv (Cornell University)
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2020
|
32 회 인용
Two factor authentication using EEG augmented passwords
Ivan Švogor, Tonimir Kišasondi
arXiv (Cornell University)
|
2016
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32 회 인용
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