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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
Predictive coding in balanced neural networks with noise, chaos and delays
Jonathan Kadmon, Jonathan Timcheck 외 1명
arXiv (Cornell University)
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2020
|
25 회 인용
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
Manuel Molano‐Mazón, Arno Onken 외 2명
arXiv (Cornell University)
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2018
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25 회 인용
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
Ahmed W. Moawad, Anastasia Janas 외 230명
arXiv (Cornell University)
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2023
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25 회 인용
Visualisation of Brain Statistics with R-packages ggseg and ggseg3d
Athanasia M. Mowinckel, Didac Vidal‐Piñeiro
arXiv (Cornell University)
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2019
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25 회 인용
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG
Jerrin Thomas Panachakel, A. G. Ramakrishnan 외 1명
arXiv (Cornell University)
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2020
|
24 회 인용
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures
Xinghua Yao, Qiang Cheng 외 1명
arXiv (Cornell University)
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2019
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24 회 인용
Artificial Neural Network Fuzzy Inference System (ANFIS) For Brain Tumor Detection
Minakshi Sharma
arXiv (Cornell University)
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2012
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24 회 인용
Deep Learning for Free-Hand Sketch: A Survey and A Toolbox
Peng Xu, Timothy M. Hospedales 외 4명
arXiv (Cornell University)
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2020
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24 회 인용
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Subba Reddy Oota, Jashn Arora 외 4명
arXiv (Cornell University)
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2022
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24 회 인용
Neural Networks, Artificial Intelligence and the Computational Brain
Martin C. Nwadiugwu
arXiv (Cornell University)
|
2020
|
24 회 인용
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