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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
Revealing structure components of the retina by deep learning networks
Qi Yan, Zhaofei Yu 외 2명
arXiv (Cornell University)
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2017
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6 회 인용
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet
Sara Ranjbar, Kyle Singleton 외 6명
arXiv (Cornell University)
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2020
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6 회 인용
Robust motifs of threshold-linear networks
Carina Curto, Christopher Langdon 외 1명
arXiv (Cornell University)
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2019
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6 회 인용
Sampling-based probabilistic inference emerges from learning in neural circuits with a cost on reliability
Laurence Aitchison, Guillaume Hennequin 외 1명
arXiv (Cornell University)
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2018
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6 회 인용
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data
Jingkang Yang, Haohan Wang 외 2명
arXiv (Cornell University)
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2016
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6 회 인용
Segmenting Brain Tumors with Symmetry
Hejia Zhang, Xia Zhu 외 1명
arXiv (Cornell University)
|
2017
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6 회 인용
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition
Haoning Kan, Jiale Yu 외 3명
arXiv (Cornell University)
|
2022
|
6 회 인용
Sharing Neurophysiology Data from the Allen Brain Observatory: Lessons Learned
Saskia de Vries, Joshua H. Siegle 외 1명
arXiv (Cornell University)
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2022
|
6 회 인용
Spatial and Colour Opponency in Anatomically Constrained Deep Networks
Ethan Harris, Daniela Mihai 외 1명
arXiv (Cornell University)
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2019
|
6 회 인용
Spatio-temporal convolutional neural networks explain human neural representations of action recognition
Andrea Tacchetti, Leyla Işık 외 1명
arXiv (Cornell University)
|
2016
|
6 회 인용
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