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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
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng, Yang Gu 외 5명
arXiv (Cornell University)
|
2024
|
5 회 인용
Semantic Unification A sheaf theoretic approach to natural language
Samson Abramsky, Mehrnoosh Sadrzadeh
arXiv (Cornell University)
|
2014
|
5 회 인용
Silences, Spikes and Bursts: Three-Part Knot of the Neural Code
Richard Naud, Zachary Friedenberger 외 1명
arXiv (Cornell University)
|
2023
|
5 회 인용
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods
Victor Saase, Holger Wenz 외 3명
arXiv (Cornell University)
|
2020
|
5 회 인용
Spatial-temporal Transformers for EEG Emotion Recognition
Jiyao Liu, Hao Wu 외 2명
arXiv (Cornell University)
|
2021
|
5 회 인용
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space
Guangyi Zhang, Ali Etemad
arXiv (Cornell University)
|
2020
|
5 회 인용
Spectral Graph Convolutions on Population Graphs for Disease Prediction
Sarah Parisot, Sofia Ira Ktena 외 5명
arXiv (Cornell University)
|
2017
|
5 회 인용
Speech Recognition with no speech or with noisy speech
Gautam Krishna, Co Tran 외 2명
arXiv (Cornell University)
|
2019
|
5 회 인용
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer
Trung Le, Eli Shlizerman
arXiv (Cornell University)
|
2022
|
5 회 인용
Structure of Resource Theory of Block Coherence
Prabir Kumar Dey, Dipayan Chakraborty 외 4명
arXiv (Cornell University)
|
2019
|
5 회 인용
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