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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
Magnetic Resonance Connectome Automated Pipeline
William Gray, John Bogovic 외 4명
arXiv (Cornell University)
|
2011
|
5 회 인용
Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework
Chuan-Yung Tsai, David Cox
arXiv (Cornell University)
|
2015
|
5 회 인용
Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Grèzes, and Baumard (2020)
Rory W Spanton, Olivia Guest
arXiv (Cornell University)
|
2022
|
5 회 인용
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Paul S. Scotti, Mihir Tripathy 외 9명
arXiv (Cornell University)
|
2024
|
5 회 인용
Modéliser le physique pour comprendre le contrôle : le cas de l'anticipation en production de parole
Pascal Perrier, Yohan Payan 외 1명
ArXiv.org
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2006
|
5 회 인용
Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability
Wolfram Barfuß, Richard P. Mann
PubMed
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2021
|
5 회 인용
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform
Alex Zihao Zhu, Ziyun Wang 외 1명
arXiv (Cornell University)
|
2019
|
5 회 인용
Motion Parallax is Asymptotic to Binocular Disparity
K.D. STROYAN
arXiv (Cornell University)
|
2010
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5 회 인용
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
Sina Ghorbani Kolahi, S. Kamal Chaharsooghi 외 6명
arXiv (Cornell University)
|
2024
|
5 회 인용
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation
Hongwei Li, Jianguo Zhang 외 3명
arXiv (Cornell University)
|
2018
|
5 회 인용
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