Come see our poster #61 at 3pm @iclr-conf.bsky.social #iclr2025 surface deep learning for generalising fMRI decoding across different human brains with @dahansimon.bsky.social @gabriben.bsky.social

Doing a demo on evaluating small language models for non-reasoning tasks (e.g. professionalize, shorten) at the amazon booth at 14:00 tomorrow at #ICLR 🇸🇬

This could allow to create personalised simulations of brain function for, say, visual impaired patients.
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The popular aspirational goal in the field is to represent, in real time, what people are thinking as a movie. In this paper, we go beyond the fMRI -> image paradigm. With video+audio <-> fMRI we also predict which brain regions are activated across individuals.
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Excited to announce that our paper SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments got accepted
@iclr_conf
🎉
arxiv.org/abs/2501.16471
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[1/5] I'm very happy to share that our latest paper: “SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments”, has been accepted to #ICLR2025! 🎉