4 papers
Prediction and Empowerment: A Theory of Agency through Bridge Interfaces
Richard Csaky
We study agency under partial observability in deterministic physical or simulated worlds, where apparent randomness arises from uncertainty over initial conditions, fixed law bits…
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…
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…
Decoding non-invasive brain activity with novel deep-learning approaches
Richard Csaky
This thesis delves into the world of non-invasive electrophysiological brain signals like electroencephalography (EEG) and magnetoencephalography (MEG), focusing on modelling and d…