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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
2,123개의 결과
Generalized Measures of Information Transfer
Paul L. Williams, Randall D. Beer
arXiv (Cornell University)
|
2011
|
56 회 인용
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
Hanshu Cai, Yiwen Gao 외 24명
arXiv (Cornell University)
|
2020
|
56 회 인용
Real Time Object Detection System with YOLO and CNN Models: A Review
V Viswanatha, R K Chandana 외 1명
arXiv (Cornell University)
|
2022
|
56 회 인용
The Phi measure of integrated information is not well-defined for general physical systems
Adam B. Barrett, Pedro A. M. Mediano
arXiv (Cornell University)
|
2019
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56 회 인용
Brain Network Transformer
Xuan Kan, Wei Dai 외 4명
arXiv (Cornell University)
|
2022
|
55 회 인용
Identifying Stable Patterns over Time for Emotion Recognition from EEG
Wei‐Long Zheng, Jiayi Zhu 외 1명
arXiv (Cornell University)
|
2016
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55 회 인용
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
Sotetsu Koyamada, Yumi Shikauchi 외 3명
arXiv (Cornell University)
|
2015
|
54 회 인용
Bits from Biology for Computational Intelligence
Michael Wibral, Joseph T. Lizier 외 1명
arXiv (Cornell University)
|
2014
|
53 회 인용
Scalable, Distributed AI Frameworks: Leveraging Cloud Computing for Enhanced Deep Learning Performance and Efficiency
Neelesh Mungoli
arXiv (Cornell University)
|
2023
|
52 회 인용
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
Gjorgji Strezoski, Marcel Worring
arXiv (Cornell University)
|
2017
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51 회 인용
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