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EEG Classification on EEG-Bench Clinical tasks
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80
Abnormal Classification Accuracy
LaBraM
75.32
76.535
77.75
78.965
Mar 17, 2026
Abnormal Classification Accuracy
Artifact Detection Accuracy (Binary)
Epilepsy Classification Accuracy
mTBI Classification Accuracy
Artifact Detection Accuracy (Multiclass)
OCD Classification Accuracy
Parkinson’s Classification Accuracy
Schizophrenia Classification Accuracy
Seizure Classification Accuracy
Sleep Stages Classification Accuracy
Mean Balanced Accuracy (Overall)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Abnormal Classification Accuracy
Artifact Detection Accuracy (Binary)
Epilepsy Classification Accuracy
mTBI Classification Accuracy
Artifact Detection Accuracy (Multiclass)
OCD Classification Accuracy
Parkinson’s Classification Accuracy
Schizophrenia Classification Accuracy
Seizure Classification Accuracy
Sleep Stages Classification Accuracy
Mean Balanced Accuracy (Overall)
LaBraM
Protocol=Linear probing
2026.03
80
69.7
64.5
56.1
30.7
81.7
54.6
50
67.5
18.3
57.3
Laya-S
Protocol=Linear probing
2026.03
77.9
69
62.3
60.2
36.8
83.3
66.7
45.2
78.3
17.5
59.7
LUNA
Protocol=Linear probing
2026.03
75.9
73.9
56.1
50
31.2
80
68.3
50
56.5
18.4
56
Laya-full
Protocol=Linear probing
2026.03
75.5
60.4
59.4
53.2
24.1
80
60.5
50
72.6
17.2
55.3
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