Yulia Bezsudnova

This study shows that parafoveal priming reduces neural response and enhances object category decoding, suggesting neural sharpening during visual exploration.

This paper introduces a modular, cap-based design for wearable OPM-based MEG that improves accessibility and participant throughput while maintaining high signal quality and mobility.

This paper presents a lightweight, low-cost MEG system that enables brain imaging without a magnetically shielded room, achieving comparable signal-to-noise ratios to conventional systems.

This study compares decoding accuracy of visual processing using optically pumped magnetometer (OPM) and superconducting quantum interference device (SQUID) based magnetoencephalography (MEG) systems with multivariate pattern analysis (MVPA).

This paper optimizes magnetometer arrays and analysis pipelines for multivariate pattern analysis, finding that 30 sensors are sufficient and advising against signal space separation filters.

The paper uses cross-decoding of MEG data to show semantic activation for pictures occurs around 150 ms and for words around 230 ms.

This paper introduces a rapid invisible frequency-tagging technique for BCIs, enabling real-time control with high accuracy and reduced visual fatigue.