6 papers
From Signals to Trajectories: A Primer on Low-Dimensional Dynamics in Human EEG and MEG
Vanessa Hadid, Hamza Abdelhedi, Annalisa Pascarella +3
Neural activity unfolds not as a set of independent signals, but as a coordinated dynamical process that can be described as a point moving through a high-dimensional state space.…
A Roadmap for MEG Foundation Models
Philipp Thölke, Hamza Abdelhedi, Yorguin Mantilla-Ramos +7
Foundation models are beginning to reshape brain-signal analysis by moving the field beyond task-specific decoding pipelines toward reusable models pretrained on broad neural datas…
The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100
Francesco Mantegna, Gereon Elvers, Dulhan Jayalath +18
The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasive speech decoding. Designed to progress from foundational tasks…
Coord2Region: A Python Package for Mapping 3D Brain Coordinates to Atlas Labels, Literature, and AI Summaries
Hamza Abdelhedi, Yorguin-Jose Mantilla-Ramos, Sina Esmaeili +3
We present Coord2Region, an open-source Python package that streamlines coordinate-based neuroimaging workflows by automatically mapping 3D brain coordinates (e.g., MNI or Talairac…
The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
Gilad Landau, Miran Özdogan, Gereon Elvers +15
The advance of speech decoding from non-invasive brain data holds the potential for profound societal impact. Among its most promising applications is the restoration of communicat…
Artificial Neural Networks for Magnetoencephalography: A review of an emerging field
Arthur Dehgan, Hamza Abdelhedi, Vanessa Hadid +2
Magnetoencephalography (MEG) is a cutting-edge neuroimaging technique that measures the intricate brain dynamics underlying cognitive processes with an unparalleled combination of…