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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
Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface
Satyam Kumar, Tharun Kumar Reddy 외 1명
arXiv (Cornell University)
|
2019
|
3 회 인용
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Romy Müller, Marcel Dürschmidt 외 4명
arXiv (Cornell University)
|
2023
|
3 회 인용
Duality on Higher Order U(1) Bundles
M.I. Caicedo, I. Martı́n 외 1명
ArXiv.org
|
1997
|
3 회 인용
Dynamics of EEG Entropy: beyond signal plus noise
Massimiliano Ignaccolo, Latka, M. 외 3명
ArXiv.org
|
2009
|
3 회 인용
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features
Dongrui Wu, Brent J. Lance 외 4명
arXiv (Cornell University)
|
2017
|
3 회 인용
Effective synaptic interactions in subsampled nonlinear networks with strong coupling
Braden A. W. Brinkman, Fred Rieke 외 2명
arXiv (Cornell University)
|
2017
|
3 회 인용
Efficient Tree Solver for Hines Matrices on the GPU
Felix Huber
arXiv (Cornell University)
|
2018
|
3 회 인용
Electrotactile Feedback For Enhancing Contact Information in Virtual Reality
Sebastian Vizcay, Panagiotis Kourtesis 외 3명
arXiv (Cornell University)
|
2021
|
3 회 인용
Elucidating the role of hydrogen bonding in the optical spectroscopy of the solvated green fluorescent protein chromophore: using machine learning to establish the importance of high-level electronic structure
Michael S. Chen, Yuezhi Mao 외 6명
arXiv (Cornell University)
|
2023
|
3 회 인용
Emergence of localized persistent weakly-evanescent cortical brain wave loops
V. L. Galinsky, Lawrence R. Frank
arXiv (Cornell University)
|
2019
|
3 회 인용
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