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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
Review of the State-of-the-art on Bio-signal-based Brain-controlled Vehicles
Amin Hekmatmanesh, Pedro H. J. Nardelli 외 1명
arXiv (Cornell University)
|
2020
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4 회 인용
Riemannian Geometry-Based EEG Approaches: A Literature Review
Imad Eddine Tibermacine, Samuele Russo 외 5명
arXiv (Cornell University)
|
2024
|
4 회 인용
Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease
Wolfgang Fruehwirt, Matthias Gerstgrasser 외 12명
arXiv (Cornell University)
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2017
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4 회 인용
$S^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Xinlin Li, Bang Liu 외 4명
arXiv (Cornell University)
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2021
|
4 회 인용
Sampling theory for spatial field sensing: Application to electro- and magnetoencephalography
Joonas Iivanainen, Antti Mäkinen 외 4명
arXiv (Cornell University)
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2019
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4 회 인용
ScalingNet: extracting features from raw EEG data for emotion recognition
Jingzhao Hu, Chen Wang 외 3명
arXiv (Cornell University)
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2021
|
4 회 인용
Screening Autism Spectrum Disorder in childrens using Deep Learning Approach : Evaluating the classification model of YOLOv8 by comparing with other models
Subash Gautam, Prabin Sharma 외 5명
arXiv (Cornell University)
|
2023
|
4 회 인용
Self-organization using synaptic plasticity
Vicençc Gómez, Andreas Kaltenbrunner 외 2명
ArXiv.org
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2008
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4 회 인용
Self-Organized Criticality Explains Readiness Potential
Katsushi Kagaya, Tomoyuki Kubota 외 1명
arXiv (Cornell University)
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2022
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4 회 인용
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis, Laura Pede 외 2명
arXiv (Cornell University)
|
2021
|
4 회 인용
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