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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
CrossPT-EEG: A Benchmark for Cross-Participant and Cross-Time Generalization of EEG-based Visual Decoding
Shuqi Zhu, Ziyi Ye 외 2명
arXiv (Cornell University)
|
2024
|
4 회 인용
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
Yun Luo, Lizhen Zhu 외 2명
arXiv (Cornell University)
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2020
|
4 회 인용
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Kai Shu, Wu Le 외 4명
arXiv (Cornell University)
|
2023
|
4 회 인용
Decoding hand kinematics from population responses in sensorimotor cortex during grasping
Elizaveta V. Okorokova, James M. Goodman 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
Deep adversarial neural decoding
Yağmur Güçlütürk, Umut Güçlü 외 4명
arXiv (Cornell University)
|
2017
|
4 회 인용
Deep brain state classification of MEG data
Ismail Alaoui Abdellaoui, Jesús García Fernández 외 2명
arXiv (Cornell University)
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2020
|
4 회 인용
Deep Learning and the Global Workspace Theory
Rufin VanRullen, Ryota Kanai
arXiv (Cornell University)
|
2020
|
4 회 인용
Deep Learning Approaches for Seizure Video Analysis: A Review
David Ahmedt‐Aristizabal, Mohammad Ali Armin 외 6명
arXiv (Cornell University)
|
2023
|
4 회 인용
Deep Learning--Based Scene Simplification for Bionic Vision
Nicole Han, Sudhanshu Srivastava 외 3명
arXiv (Cornell University)
|
2021
|
4 회 인용
Deep learning in a bilateral brain with hemispheric specialization
Chandramouli Rajagopalan, David Rawlinson 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
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