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Electroencephalogram (EEG)

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
7
평가표
3
보존된 평가 기록
5

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

평가 결과

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SEED-IV

원본 태스크: Electroencephalogram (EEG)

평가 기록 3건

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원본 태스크: Electroencephalogram (EEG) / Eeg Decoding / EEG Signal Classification

평가 기록 1건

CWL EEG/fMRI Dataset

원본 태스크: Electroencephalogram (EEG) / Eeg Decoding

평가 기록 1건

HS-SSVEP

원본 태스크: Electroencephalogram (EEG)

평가 기록 1건

PhyAAt

원본 태스크: Electroencephalogram (EEG) / Attention Score Prediction

평가 기록 1건

PhyAAt

원본 태스크: Electroencephalogram (EEG) / Noise Level Prediction

평가 기록 1건

PhyAAt

원본 태스크: Electroencephalogram (EEG) / Semanticity prediction

평가 기록 1건

PhyAAt

원본 태스크: Electroencephalogram (EEG) / LWR Classification

평가 기록 1건

SEED

원본 태스크: Electroencephalogram (EEG)

평가 기록 1건

VizNet

원본 태스크: Electroencephalogram (EEG) / Semanticity prediction

평가 기록 1건

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