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ssvep-multi-task-learning

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Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

Creat2020-04-23T15:37:10
Update2024-11-15T17:00:45
https://jinglescode.github.io/ssvep-multi-task-learning/
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