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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
2,181개의 결과
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
Mehmet Aygün, Yusuf H. Şahin 외 1명
arXiv (Cornell University)
|
2018
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26 회 인용
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge, Anil K. Seth 외 1명
arXiv (Cornell University)
|
2021
|
26 회 인용
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience
Randal Burns, William Gray Roncal 외 18명
arXiv (Cornell University)
|
2013
|
26 회 인용
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Jathurshan Pradeepkumar, Mithunjha Anandakumar 외 5명
arXiv (Cornell University)
|
2022
|
26 회 인용
Diagnosis of Autism in Children using Facial Analysis and Deep Learning
Madison Beary, Alex Hadsell 외 2명
arXiv (Cornell University)
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2020
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25 회 인용
Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility
Rosa Cao, Daniel Yamins
arXiv (Cornell University)
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2021
|
25 회 인용
Learning Deep Convolutional Features for MRI Based Alzheimer's Disease Classification
Fayao Liu, Chunhua Shen
arXiv (Cornell University)
|
2014
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25 회 인용
Liquid Metal as Connecting or Functional Recovery Channel for the Transected Sciatic Nerve
Jie Zhang, Lei Sheng 외 2명
arXiv (Cornell University)
|
2014
|
25 회 인용
Manifold-regression to predict from MEG/EEG brain signals without source modeling
David Sabbagh, Pierre Ablin 외 3명
arXiv (Cornell University)
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2019
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25 회 인용
MAtt: A Manifold Attention Network for EEG Decoding
Yueting Pan, Jing-Lun Chou 외 1명
arXiv (Cornell University)
|
2022
|
25 회 인용
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