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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
2,086개의 결과
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker, Christopher Kanan
arXiv (Cornell University)
|
2017
|
271 회 인용
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi 외 13명
arXiv (Cornell University)
|
2020
|
267 회 인용
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis, Paul M. Matthews 외 2명
arXiv (Cornell University)
|
2016
|
259 회 인용
The specificity and robustness of long-distance connections in weighted, interareal connectomes
Richard F. Betzel, Danielle S. Bassett
arXiv (Cornell University)
|
2017
|
249 회 인용
Complexity without chaos: Plasticity within random recurrent networks generates robust timing and motor control
Rodrigo Laje, Dean V. Buonomano
arXiv (Cornell University)
|
2012
|
244 회 인용
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert Banville, Omar Chehab 외 3명
arXiv (Cornell University)
|
2020
|
231 회 인용
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Sana Yasin, Syed Asad Hussain 외 4명
arXiv (Cornell University)
|
2020
|
203 회 인용
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Qianli Liao, Tomaso Poggio
arXiv (Cornell University)
|
2016
|
194 회 인용
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva, Xue-Xin Wei
arXiv (Cornell University)
|
2018
|
194 회 인용
A Theoretical Framework for Physics Education Research: Modeling student thinking
Edward F. Redish
arXiv (Cornell University)
|
2004
|
191 회 인용
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