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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.

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

License: BSD 2-Clause "Simplified" License

Python 100.00%
eeg deep-learning convolutional-neural-network pytorch brain-computer-interface bci cnn multitask-learning ssvep

ssvep-multi-task-learning's Introduction

Hong Jing (Jingles)

Software Development • Machine Learning • Blockchain

GitHub GitHub LinkedIn LinkedIn LinkedIn Stack Overflow

Currently working on...

  • PhD research, applying machine learning to neuroscience and healthcare. Specifically, I work on brain-computer interfaces to diagnose eye problems. It is a fascinating combination between AI and Neuroscience.

  • w3, a free URL shortener service that is fast and fuss-free.

  • Satcom, a web extension that add collaborative layer to your Internet browsing experience.

  • Mesh SDK, an open-source software development kit library to easily build decentralized applications.

  • Write about machine learning, machine learning and self-improvement on my blog and Medium.

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