✨ Exciting news! I've accepted an offer from Meta as a Research Scientist Intern in May 2025 in NYC! I look forward to contributing to groundbreaking neuroscience and tech research, enhancing human-computer interaction through wearable EMG interfaces.
These findings highlight that fNIRS, with its portability and non-invasive nature, can be a powerful alternative to other neuroimaging techniques when paired with data analysis methods specifically tailored for it.
We combine the kernel matrices into a block diagonal matrix. Our method achieves 96% accuracy in binary classification and 65% in 8-class classification of mental imagery tasks.
We introduce a classification framework that leverages the dual nature of the fNIRS signal. This approach significantly outperforms traditional classification methods by applying separate kernel functions and regularizations to each chromophore.
🚀 Excited to share our latest preprint on using Riemannian Geometry to classify brain states with functional near-infrared spectroscopy (fNIRS)!
www.biorxiv.org/content/10.1...
New paper from the lab in NatureComms
Intracranial and scalp EEG reveals memory reactivation of real-world head orientations. In NREM sleep, MTL spindle-locked ripples are key. rdcu.be/dLpYU
Great collaborative effort spearheaded by @tschreiner.bsky.social
Thanks to all participants, esp. patients!
