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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
Self-Attention Capsule Networks for Image Classification.
Assaf Hoogi, Brian Wilcox 외 2명
arXiv (Cornell University)
|
2019
|
8 회 인용
Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems
Qimei Chen, Zehua You 외 1명
arXiv (Cornell University)
|
2021
|
8 회 인용
Sequential Memory with Temporal Predictive Coding
Mufeng Tang, Helen C. Barron 외 1명
PubMed
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2023
|
8 회 인용
Simulation Experiment of BCI Based on Imagined Speech EEG Decoding
Kang Wang, Xueqian Wang 외 1명
arXiv (Cornell University)
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2017
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8 회 인용
Structure Learning in Motor Control:A Deep Reinforcement Learning Model
Ari Weinstein, Matthew Botvinick
arXiv (Cornell University)
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2017
|
8 회 인용
Superconducting Optoelectronic Neurons I: General Principles
Jeffrey M. Shainline, Sonia Buckley 외 4명
arXiv (Cornell University)
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2018
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8 회 인용
Supervised learning sets benchmark for robust spike detection from calcium imaging signals
Lucas Theis, Philipp Berens 외 7명
arXiv (Cornell University)
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2015
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8 회 인용
Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor
Chen Lü, Jing Wang 외 1명
arXiv (Cornell University)
|
2019
|
8 회 인용
Synchrony with Shunting Inhibition
Sachin S. Talathi, Dong‐Uk Hwang 외 3명
University of Florida Digital Collections (University of Florida)
|
2009
|
8 회 인용
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Artemij Amiranashvili, Alexey Dosovitskiy 외 2명
arXiv (Cornell University)
|
2018
|
8 회 인용
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