Evaluating spiking neural models in the classification of motor imagery EEG signals using short calibration sessions.
Applied Soft Computing（2018）
摘要
•Robustness of the spiking neuron model under short calibration session.•New indexes to evaluate the performance and stability of classifiers.•A comparative of the most common classifiers used in EEG classification.
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关键词
EEG classification,Izhikevich spiking neuron model,Pattern recognition,Coherence,Particle swarm optimization
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