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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
Interpretable AI for relating brain structural and functional connectomes
Haoming Yang, Steven L. Winter 외 2명
arXiv (Cornell University)
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2022
|
4 회 인용
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Hejie Cui, Wei Dai 외 4명
arXiv (Cornell University)
|
2022
|
4 회 인용
Intrinsic timescales of spiking activity in humans during wakefulness and sleep
Annika Hagemann, Marcel Stephan Kehl 외 6명
arXiv (Cornell University)
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2022
|
4 회 인용
Is prioritized sweeping the better episodic control?
Johanni Brea
arXiv (Cornell University)
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2017
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4 회 인용
k-Means Maximum Entropy Exploration
Alexander Nedergaard, Matthew Cook
arXiv (Cornell University)
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2022
|
4 회 인용
Large Scale Qualitative Evaluation of Generative Image Model Outputs
Yannick Assogba, Adam Pearce 외 1명
arXiv (Cornell University)
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2023
|
4 회 인용
Large Transformers are Better EEG Learners
Bingxin Wang, Xiaowen Fu 외 4명
arXiv (Cornell University)
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2023
|
4 회 인용
Learning shared neural manifolds from multi-subject FMRI data
Jessie Huang, Erica L. Busch 외 7명
arXiv (Cornell University)
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2021
|
4 회 인용
Learning to Engage with Interactive Systems: A field Study
Lingheng Meng, Daiwei Lin 외 4명
arXiv (Cornell University)
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2019
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4 회 인용
Library-based Fast Algorithm for Simulating the Hodgkin-Huxley Neuronal Networks
Zhong-qi K. Tian, Douglas Zhou
arXiv (Cornell University)
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2021
|
4 회 인용
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