Multi-scale noise transfer and feature frequency detection in SSVEP based on FitzHugh–Nagumo neuron system
Author:
Publisher
IOP Publishing
Subject
Cellular and Molecular Neuroscience,Biomedical Engineering
Link
https://iopscience.iop.org/article/10.1088/1741-2552/ac2bb7/pdf
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2. A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance;Frontiers in Neuroscience;2023-10-04
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4. A Multi-Channel Ensemble Method for Error-Related Potential Classification Using 2D EEG Images;Sensors;2023-03-06
5. Enhancement of Time-Frequency Energy for the Classification of Motor Imagery Electroencephalogram Based on an Improved FitzHugh–Nagumo Neuron System;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023
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