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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
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia, Esther Luna Colombini
arXiv (Cornell University)
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2021
|
6 회 인용
Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series
Rushil Anirudh, Jayaraman J. Thiagarajan 외 2명
arXiv (Cornell University)
|
2016
|
6 회 인용
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi 외 12명
arXiv (Cornell University)
|
2022
|
6 회 인용
Autoreject: Automated artifact rejection for MEG and EEG data
Mainak Jas, Denis A. Engemann 외 3명
arXiv (Cornell University)
|
2016
|
6 회 인용
Bayesian synaptic plasticity makes predictions about plasticity experiments in vivo
Laurence Aitchison, Peter E. Latham
arXiv (Cornell University)
|
2014
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6 회 인용
Being in the zone: Flow state and the underlying neural dynamics in video game playing
Kyongsik Yun, Saeran Doh 외 3명
arXiv (Cornell University)
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2017
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6 회 인용
Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher, Andrew Isaac Meso 외 2명
arXiv (Cornell University)
|
2015
|
6 회 인용
Bivariate Separable-Dimension Glyphs can Improve Visual Analysis of Holistic Features
Henan Zhao, Jian Chen
arXiv (Cornell University)
|
2017
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6 회 인용
Bootstrapped Adaptive Threshold Selection for Statistical Model Selection and Estimation
Kristofer E. Bouchard
arXiv (Cornell University)
|
2015
|
6 회 인용
Brain Network Architecture: Implications for Human Learning
Marcelo G. Mattar, Danielle S. Bassett
arXiv (Cornell University)
|
2016
|
6 회 인용
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