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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
2,093개의 결과
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images
Zahra Sobhaninia, Safiyeh Rezaei 외 6명
arXiv (Cornell University)
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2018
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72 회 인용
Hopfield Networks is All You Need
Hubert Ramsauer, Bernhard Schäfl 외 14명
arXiv (Cornell University)
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2020
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72 회 인용
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou, Mitchell Gordon 외 4명
arXiv (Cornell University)
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2019
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72 회 인용
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Byung-Hoon Kim, Jong Chul Ye 외 1명
arXiv (Cornell University)
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2021
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72 회 인용
Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier
Ibrahim Omerhodžić, Samir Avdaković 외 2명
arXiv (Cornell University)
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2013
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71 회 인용
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi 외 8명
arXiv (Cornell University)
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2022
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70 회 인용
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
Dalin Zhang, Lina Yao 외 4명
arXiv (Cornell University)
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2017
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70 회 인용
LFADS - Latent Factor Analysis via Dynamical Systems
David Sussillo, Rafał Józefowicz 외 2명
arXiv (Cornell University)
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2016
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69 회 인용
Deep Feature Learning for EEG Recordings
Sebastian Stober, Avital Sternin 외 2명
arXiv (Cornell University)
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2015
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66 회 인용
What is the Point of Fairness? Disability, AI and The Complexity of Justice
Cynthia L. Bennett, Os Keyes
arXiv (Cornell University)
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2019
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66 회 인용
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