This study shows that cognitive constraints measured in speeded tasks influence long-term smartphone temporal patterns, revealing how cognitive processes shape naturalistic behavior.

bioRxiv · Apr 8, 2026 · PreprintAnimal Behavior & Cognition

Real-time control of a hearing instrument with EEG-based attention decoding

Jens Hjortkjær, Daniel D.E. Wong, Alessandro Catania, Jonatan Märcher‐Rørsted, Enea Ceolini, Søren A. Fuglsang, Ilya Kiselev, Giovanni M. Di Liberto, Shih‐Chii Liu, Torsten Dau, Malcolm Slaney, Alain De Cheveigné A

This paper presents a real-time BCI system using EEG attention decoding to control a hearing instrument, enhancing speech perception in noisy environments by steering attention to desired sound sources.

Journal of Neural Engineering · Feb 1, 2025Peer-reviewedNeuroscience

Neural processing of goal and non-goal-directed movements on the smartphone

Ruchella Kock, Enea Ceolini, Lysanne Groenewegen, Arko Ghosh

The paper analyzes neural signals during goal-directed and non-goal-directed smartphone touch movements, finding distinct neural processing patterns for each.

Neuroimage Reports · Mar 15, 2023Peer-reviewedNeuroscience

A Comparison of Temporal Response Function Estimation Methods for Auditory Attention Decoding

Daniel D.E. Wong, Søren A. Fuglsang, Jens Hjortkjær, Enea Ceolini, Malcolm Slaney, Alain De Cheveigné A

This study compares TRF estimation methods for decoding auditory attention from EEG data using a standardized dataset.

Frontiers in Neuroscience · Aug 7, 2018Peer-reviewedNeuroscience