Basic Taste Sensation Recognition From EEG Based on Multiscale Convolutional Neural Network With Residual Learning-Reference-Cited by-同舟云学术

Basic Taste Sensation Recognition From EEG Based on Multiscale Convolutional Neural Network With Residual Learning

Published:2023 Issue: Volume:72 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Gao Han¹^ORCID,Zhao Shuo¹^ORCID,Li Huiyan¹^ORCID,Liu Li¹^ORCID,Wang Hengyang¹^ORCID,Wang You¹^ORCID,Luo Zhiyuan²^ORCID,Zhang Jin³^ORCID,Li Guang¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

2. Department of Computer Science, Royal Holloway, University of London, Egham, U.K

3. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

Funder

Zhejiang University Global Partnership Fund

Open Project of State Key Laboratory of Industrial Control Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10138514.pdf?arnumber=10138514

Reference43 articles.

1. Neuroscience: Hardwired for taste

2. ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features

3. Common Sense about Taste: From Mammals to Insects

4. Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study

5. Gustatory Evoked Cortical Activity in Humans Studied by Simultaneous EEG and MEG Recording

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