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anuraj1996/Multiclass-classification-of-visual-stimuli-on-EEG-signals-from-single-channel-SSVEP-based-brain-com
Brain-computer interfaces (BCIs) provide humans a new communication channel by encoding and decoding brain activities. To achieve possible solution for problem we first analyze the SSVEP BCI based dataset with the help of Machine learning algorithms for best accuracy to build a good Multiclass classification model and to develop applications
github_anuraj1996_multiclass_classification_of_visual_stimuli_on_eeg_signals_from_singlEEG开放
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| 模型 | 任务 | 类型 | Accuracy |
|---|---|---|---|
| 暂无 Benchmark 证据 | |||
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任务
Memory论文
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LDARFSVM应用
Cognitive neuroscience research相似数据集
OpenNeuro ds00716965.2 · exact task-category matchIncidental encoding task (Posner Cueing Paradigm)53.0 · exact task-category matchHimanshuIITP/EEG-memory-gen46.0 · exact task match评分构成
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