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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
2,165개의 결과
A survey on haptic technologies for mobile augmented reality
Carlos Bermejo, Pan Hui
arXiv (Cornell University)
|
2017
|
31 회 인용
Adaptive Drift-Diffusion Process to Learn Time Intervals
François Rivest, Yoshua Bengio
arXiv (Cornell University)
|
2011
|
31 회 인용
Associative Memories via Predictive Coding
Tommaso Salvatori, Yuhang Song 외 6명
PubMed
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2021
|
31 회 인용
Beyond integrated information: A taxonomy of information dynamics phenomena
Pedro A. M. Mediano, Fernando E. Rosas 외 3명
arXiv (Cornell University)
|
2019
|
31 회 인용
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
Alberto Zancanaro, Giulia Cisotto 외 3명
arXiv (Cornell University)
|
2021
|
31 회 인용
Deep Predictive Learning: A Comprehensive Model of Three Visual Streams
Randall C. O’Reilly, Dean Wyatte 외 1명
arXiv (Cornell University)
|
2017
|
31 회 인용
Evaluating vector-space models of analogy
Dawn Chen, Joshua C. Peterson 외 1명
arXiv (Cornell University)
|
2017
|
31 회 인용
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
Mainak Jas, Tom Dupré la Tour 외 2명
arXiv (Cornell University)
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2017
|
31 회 인용
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Tom Dupré la Tour, Thomas Moreau 외 2명
arXiv (Cornell University)
|
2018
|
31 회 인용
Tac3D: A Novel Vision-based Tactile Sensor for Measuring Forces Distribution and Estimating Friction Coefficient Distribution
Lunwei Zhang, Yue Wang 외 1명
arXiv (Cornell University)
|
2022
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31 회 인용
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