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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
2,114개의 결과
A New Generation of Brain-Computer Interface Based on Riemannian Geometry
Marco Congedo, Alexandre Barachant 외 1명
arXiv (Cornell University)
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2013
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65 회 인용
The Diverse Club: The Integrative Core of Complex Networks
Maxwell A. Bertolero, B.T. Thomas Yeo 외 1명
arXiv (Cornell University)
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2017
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65 회 인용
Attentive Recurrent Comparators
Pranav Shyam, Shubham Gupta 외 1명
arXiv (Cornell University)
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2017
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64 회 인용
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
Dashan Gao, Ce Ju 외 4명
arXiv (Cornell University)
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2019
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64 회 인용
Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG.
Robin Tibor Schirrmeister, Jost Tobias Springenberg 외 7명
arXiv (Cornell University)
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2017
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63 회 인용
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Noah Apthorpe, Alexander J. Riordan 외 5명
arXiv (Cornell University)
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2016
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62 회 인용
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
Snehashis Roy, John A. Butman 외 3명
arXiv (Cornell University)
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2018
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62 회 인용
Epileptic Seizure Detection: A Deep Learning Approach
Ramy Hussein, Hamid Palangi 외 2명
arXiv (Cornell University)
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2018
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61 회 인용
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Joel Z. Leibo, Cyprien de Masson d’Autume 외 11명
arXiv (Cornell University)
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2018
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61 회 인용
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
Karol Gregor, Yann LeCun
arXiv (Cornell University)
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2010
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60 회 인용
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