24 citations · 32 across the 7 of their papers we have counts for
Showing 2023Show all
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cs.LG2023★ 3 cited
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
Filippo Corponi, Bryan M. Li, Gerard Anmella +13
Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood di…
cs.CV2023★ 3 cited
V1T: large-scale mouse V1 response prediction using a Vision Transformer
Bryan M. Li, Isabel M. Cornacchia, Nathalie L. Rochefort +1
Accurate predictive models of the visual cortex neural response to natural visual stimuli remain a challenge in computational neuroscience. In this work, we introduce V1T, a novel…