39 citations · 49 across the 7 of their papers we have counts for
9 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…
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…
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…
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…
The Gutenberg Dialogue Dataset
Richard Csaky, Gabor Recski
Large datasets are essential for neural modeling of many NLP tasks. Current publicly available open-domain dialogue datasets offer a trade-off between quality (e.g., DailyDialog) a…