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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
Depression Detection using Resting State Three-channel EEG Signal
Qiuxia Shi, Ang Liu 외 4명
arXiv (Cornell University)
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2020
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11 회 인용
Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image
Emily L. Spratt
arXiv (Cornell University)
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2017
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11 회 인용
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou 외 6명
PubMed
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2021
|
11 회 인용
Efficacy of Transformer Networks for Classification of Raw EEG Data
Gourav Siddhad, Anmol Gupta 외 2명
arXiv (Cornell University)
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2022
|
11 회 인용
Globally Injective ReLU Networks
Michael Puthawala, Konik Kothari 외 3명
arXiv (Cornell University)
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2020
|
11 회 인용
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
Chenyu Liu, Deng, Yuqiu 외 11명
ArXiv.org
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2024
|
11 회 인용
HAMLET: Interpretable Human And Machine co-LEarning Technique
Olivier Deiss, Siddharth Biswal 외 4명
arXiv (Cornell University)
|
2018
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11 회 인용
Higher Order Correlations within Cortical Layers Dominate Functional Connectivity in Microcolumns
Urs Köster, Jascha Sohl‐Dickstein 외 2명
arXiv (Cornell University)
|
2013
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11 회 인용
Improving self-supervised pretraining models for epileptic seizure detection from EEG data
Sudip Das, Pankaj Pandey 외 1명
arXiv (Cornell University)
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2022
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11 회 인용
Inner speech recognition through electroencephalographic signals
Francesca Gasparini, Elisa Cazzaniga 외 1명
arXiv (Cornell University)
|
2022
|
11 회 인용
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