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jinglescode / ssvep-multi-task-learning

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.

Home Page:https://jinglescode.github.io/ssvep-multi-task-learning/

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