Semantic concept recognition in learning brain by using deep convolutional networks-Reference-Cited by-同舟云学术

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Semantic concept recognition in learning brain by using deep convolutional networks

Published:2023-12-05 Issue: Volume:13 Page:3901-3906
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Sun Liqian¹,Wang Jingheng¹,Zhang Yiping¹,Zhu Di²,Zhang Yupei³,Liu Shuhui⁴

Affiliation:

1. Northwestern Polytechnical University,Xi'an,China

2. Northwestern Polytechnical University,School of Computer Science,Xi'an,China

3. Northwestern Polytechnical University,BigDataShortage & Management MIITLab,Xi'an,China

4. Tsinghua University,Department of Automation,Beijing,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385534.pdf?arnumber=10385534

Reference21 articles.

1. Signal quality of simultaneously recorded invasive and non-invasive EEG

2. Opportunities and challenges of functional magnetic resonance imaging for human brain research: achievements and prospects of China in the past ten years;Xia;Chin J Magn Reson Imaging,2022

3. The lag of cerebral hemodynamics with rapidly alternating periodic stimulation: modeling for functional MRI

4. Finding the BOLD effect in brain images

5. Functional magnetic resonance imaging of the human brain: data acquisition and analysis

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