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https://github.com/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.
https://github.com/jinglescode/ssvep-multi-task-learning

bci brain-computer-interface cnn convolutional-neural-network deep-learning eeg multitask-learning pytorch ssvep

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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.

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