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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
Decoding Human Attentive States from Spatial-temporal EEG Patches Using Transformers
Yi Ding, Joon Hei Lee 외 3명
ArXiv.org
|
2025
|
3 회 인용
Deconvolution of mixing time series on a graph
Alexander W. Blocker, Edoardo M. Airoldi
PubMed
|
2011
|
3 회 인용
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Nour Neifar, Afef Mdhaffar 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Deep Hyperalignment
Muhammad Yousefnezhad, Daoqiang Zhang
arXiv (Cornell University)
|
2017
|
3 회 인용
Deep Learning for Early Alzheimer Disease Detection with MRI Scans
Mohammad Rafsan, Tamer Oraby 외 3명
ArXiv.org
|
2025
|
3 회 인용
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
Apdullah Yayık, Yakup Kutlu 외 1명
arXiv (Cornell University)
|
2019
|
3 회 인용
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals
Abdolkarim Saeedi, Arash Maghsoudi 외 1명
arXiv (Cornell University)
|
2023
|
3 회 인용
Desiderata for normative models of synaptic plasticity
Colin Bredenberg, Cristina Savin
arXiv (Cornell University)
|
2023
|
3 회 인용
Detecting Non-Markovianity via Quantified Coherence: Theory and Experiments
Kang‐Da Wu, Zhibo Hou 외 5명
arXiv (Cornell University)
|
2019
|
3 회 인용
Distinct criticality of phase and amplitude dynamics in the resting brain
Robert Ton, Gustavo Deco 외 3명
arXiv (Cornell University)
|
2015
|
3 회 인용
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