@gabriben.bsky.social
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reposted by
Emma Robinson @ICLR2025
11 months ago
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
add a skeleton here at some point
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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
🇸🇬
11 months ago
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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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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
Current AI frameworks for brain decoding and encoding, typically train and test models within the same datasets. This limits their utility for brain computer interfaces (BCI) or neurofeedback, for whi...
https://arxiv.org/abs/2501.16471
about 1 year ago
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reposted by
Simon Dahan
about 1 year ago
[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
! 🎉
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