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Giladsc/README.md

Gilad Schrift

Neuroscience PhD candidate at the Sagol School of Neuroscience, Tel Aviv University. I design and run human-participant experiments in immersive environments and build the systems they run on. Special interest in brain-computer interfaces.

Special interest in brain-computer interfaces. In practice, that means we take EEG signals, perform online preprocessing, decode the signal into the desired command, and provide real-time feedback in Unity. Most of my work sits at the point where an offline decoder must become reliable for online control.

Current work

Closed-loop BCI control of a virtual supernumerary limb — motor-imagery decoding (Riemannian tangent space + FGDA) driving a third arm in AR.

AR-based motor skill learning — a Meta Quest 3 passthrough application that replays personalized first-person motor tapping sequences onto the user's own hands, synchronized with haptic glove stimulation.


📫 giladsc@gmail.com · LinkedIn

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  1. 3rd-hand-motor-imagery 3rd-hand-motor-imagery Public

    EEG motor imagery BCI for a supernumerary third hand, with a live LSL loop driving a Unity AR effector.

    Python

  2. Object-Change-Detection-VR Object-Change-Detection-VR Public

    VR Change Detection task build for "Beyond Flatland: Naturalistic Three-Dimensional Stimuli and Visual Working Memory Processing". A stereoscopic VR change detection task adaptation of the classic …

  3. auto-album-tagger auto-album-tagger Public

    Python

  4. BCI_ALS BCI_ALS Public

    Forked from Dezachyo/BCI_ALS

    Jupyter Notebook

  5. live-reactivation-decoder live-reactivation-decoder Public

    Forked from roiguri/live-reactivation-decoder

    Real-time EEG decoder - a PyQt6 desktop app that trains classifiers offline (MNE, scikit-learn) and runs them live on an LSL stream

    Jupyter Notebook