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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
On the geometric structure of fMRI searchlight-based information maps
Shivakumar Viswanathan, Matthew Cieslak 외 1명
arXiv (Cornell University)
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2012
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7 회 인용
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
Anna Yoo Jeong Ha, Josephine Passananti 외 5명
arXiv (Cornell University)
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2024
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7 회 인용
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets
Priyadarshini Kumari, Siddhartha Chaudhuri 외 1명
arXiv (Cornell University)
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2019
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7 회 인용
Plane-Casting: 3D Cursor Control with a SmartPhone
Nicholas Katzakis, Kiyoshi Kiyokawa 외 2명
arXiv (Cornell University)
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2018
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7 회 인용
Predicting Error Rates in Pointing Regardless of Target Motion
Eun‐Ji Park, Byungjoo Lee
arXiv (Cornell University)
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2018
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7 회 인용
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Beren Millidge, Tommaso Salvatori 외 3명
arXiv (Cornell University)
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2022
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7 회 인용
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface
Young Eun Lee, Minji Lee 외 1명
arXiv (Cornell University)
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2020
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7 회 인용
Recovering low-rank structure from multiple networks with unknown edge distributions.
Keith Levin, Asad Lodhia 외 1명
arXiv (Cornell University)
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2019
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7 회 인용
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI
Alexandre Abraham, Elvis Dohmatob 외 3명
arXiv (Cornell University)
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2014
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7 회 인용
Reply to Stokes and Purdon: A study of problems encountered in Granger causality analysis from a neuroscience perspective
Lionel Barnett, Adam B. Barrett 외 1명
arXiv (Cornell University)
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2017
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7 회 인용
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