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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
2,124개의 결과
The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler, Francesca Mastrogiuseppe 외 3명
arXiv (Cornell University)
|
2020
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46 회 인용
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
Yaopeng Peng, Milan Sonka 외 1명
arXiv (Cornell University)
|
2023
|
46 회 인용
Deep Architectures for Automated Seizure Detection in Scalp EEGs
Meysam Golmohammadi, Saeedeh Ziyabari 외 4명
arXiv (Cornell University)
|
2017
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45 회 인용
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei, Joel Ye 외 14명
arXiv (Cornell University)
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2021
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44 회 인용
Sonification Abstraite/Sonification Concrète: An 'Aesthetic Perspective Space' for Classifying Auditory Displays in the Ars Musica Domain
Paul Vickers, Bennett Hogg
arXiv (Cornell University)
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2013
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44 회 인용
The resting microstate networks (RMN): cortical distributions, dynamics, and frequency specific information flow
Roberto D. Pascual‐Marqui, Dietrich Lehmann 외 7명
arXiv (Cornell University)
|
2014
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44 회 인용
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
Donghuan Lu, Karteek Popuri 외 3명
arXiv (Cornell University)
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2017
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43 회 인용
Neuronal Synchrony in Complex-Valued Deep Networks
David Reichert, T. Serre
arXiv (Cornell University)
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2013
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43 회 인용
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Chenxin Li, Xinyu Liu 외 6명
arXiv (Cornell University)
|
2024
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43 회 인용
Distinct patterns of syntactic agreement errors in recurrent networks and humans
Tal Linzen, Brian Leonard
arXiv (Cornell University)
|
2018
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42 회 인용
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