4 citations · 4 across the 3 of their papers we have counts for
3 papers
A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing
Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michał Gerasimiuk +5
Hull is an accelerator-rich distributed implantable Brain-Computer Interface (BCI) that reads biological neurons at data rates that are 2-3 orders of magnitude higher than the prio…
Learning shared neural manifolds from multi-subject FMRI data
Jessie Huang, Erica L. Busch, Tom Wallenstein +6
Functional magnetic resonance imaging (fMRI) is a notoriously noisy measurement of brain activity because of the large variations between individuals, signals marred by environment…
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data
Michal Gerasimiuk, Dennis Shung, Alexander Tong +6
A major challenge in embedding or visualizing clinical patient data is the heterogeneity of variable types including continuous lab values, categorical diagnostic codes, as well as…