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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
Multimodal deep learning approach for joint EEG-EMG data compression and classification
Ahmed Ben Said, Amr Mohamed 외 3명
arXiv (Cornell University)
|
2017
|
8 회 인용
Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini, Ivan Marisca 외 1명
arXiv (Cornell University)
|
2021
|
8 회 인용
Mutual information is copula entropy
Jian Ma, Zengqi Sun
ArXiv.org
|
2008
|
8 회 인용
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
Seyed Mostafa Kia, André F. Marquand
arXiv (Cornell University)
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2018
|
8 회 인용
Neural tuning and representational geometry
Nikolaus Kriegeskorte, Xue-Xin Wei
arXiv (Cornell University)
|
2021
|
8 회 인용
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
Ruohan Zhang, Sharon Lee 외 12명
arXiv (Cornell University)
|
2023
|
8 회 인용
On the Minimal Theory of Consciousness Implicit in Active Inference
Christopher J. Whyte, Andrew W. Corcoran 외 7명
arXiv (Cornell University)
|
2024
|
8 회 인용
On the role of time in perceptual decision making
Máté Lengyel, Ádám Koblinger 외 2명
arXiv (Cornell University)
|
2015
|
8 회 인용
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development
Kevin Luxem, Jennifer J. Sun 외 6명
arXiv (Cornell University)
|
2022
|
8 회 인용
Optimized U-Net for Brain Tumor Segmentation
Michał Futrega, Alexandre Milesi 외 2명
arXiv (Cornell University)
|
2021
|
8 회 인용
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