39 citations · 49 across the 7 of their papers we have counts for
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cs.LG2026
Scaling Next-Brain-Token Prediction for MEG
Richard Csaky
We present a large autoregressive model for source-space MEG that scales next-token prediction to long context across datasets and scanners: handling a corpus of over 500 hours and…
cs.LG2024
GPT2MEG: Quantizing MEG for Autoregressive Generation
Richard Csaky, Mats W. J. van Es, Oiwi Parker Jones +1
Foundation models trained with self-supervised objectives are increasingly applied to brain recordings, but autoregressive generation of realistic multichannel neural time series r…
cs.LG2022★ 9 cited
Group-level Brain Decoding with Deep Learning
Richard Csaky, Mats Van Es, Oiwi Parker Jones +1
Decoding brain imaging data are gaining popularity, with applications in brain-computer interfaces and the study of neural representations. Decoding is typicallysubject-specific an…