脑电图
计算机科学
脑-机接口
语音识别
模式识别(心理学)
人工智能
神经科学
互调
语义学(计算机科学)
大脑活动与冥想
解码方法
特征(语言学)
心理学
放大器
计算机网络
电信
语言学
哲学
带宽(计算)
程序设计语言
作者
Jing Chen,Xianghong Meng,Zheng Liu,Baoxiang Shang,Chunqi Chang,Yixuan Ku
标识
DOI:10.1016/j.jneumeth.2022.109727
摘要
Humans perform object recognition using holistic processing, which is different from computers. Intermodulation responses in the steady-state visual evoked potential (SSVEP) of scalp electroencephalography (EEG) have recently been used as an objective label for holistic processing.Using stereotactic EEG (sEEG) to record SSVEP directly from inside of the brain, we aimed to decode Chinese characters from non-characters with activation from multiple brain areas including occipital, parietal, temporal, and frontal cortices.Semantic categories could be decoded from responses at the intermodulation frequency with high accuracy (80%-90%), but not the base frequency. Moreover, semantic categories could be decoded with activation from multiple areas including temporal, parietal, and frontal areas.Previous studies investigated holistic processing in faces and words with frequency-tagged scalp EEGs. The current study extended the results to stereotactic EEG signals directly recorded from the brain.The human brain applies holistic processing in recognizing objects like Chinese characters. Our findings could be extended to an add-on feature in the existing SSVEP BCI speller.
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