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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
The Neural Representation Benchmark and its Evaluation on Brain and Machine
Charles F. Cadieu, Ha Hong 외 4명
arXiv (Cornell University)
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2013
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27 회 인용
A network model to investigate structural and electrical properties of proteins
Eleonora Alfinito, C. Pennetta 외 1명
arXiv (Cornell University)
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2007
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26 회 인용
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
Afshin Shoeibi, Navid Ghassemi 외 12명
arXiv (Cornell University)
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2021
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26 회 인용
Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning
Ravi Tejwani, Adam Liska 외 3명
arXiv (Cornell University)
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2017
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26 회 인용
Comparing Transformers and RNNs on predicting human sentence processing data.
Danny Merkx, Stefan L. Frank
arXiv (Cornell University)
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2020
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26 회 인용
Deep Recurrent Neural Networks for Time Series Prediction
Sharat C. Prasad, P. Vara Prasad
arXiv (Cornell University)
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2014
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26 회 인용
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Xiaotong Gu, Zehong Cao 외 5명
arXiv (Cornell University)
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2020
|
26 회 인용
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks
Christopher J. Cueva, Peter Y. Wang 외 2명
arXiv (Cornell University)
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2019
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26 회 인용
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Yimin Hou, Shuyue Jia 외 6명
arXiv (Cornell University)
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2020
|
26 회 인용
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing, Jean Ventura 외 2명
arXiv (Cornell University)
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2020
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26 회 인용
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