Sabine Liliana Leske

STAMP-LME provides a spatiotemporal framework for population-level iEEG analysis, enabling group-level inference without predefined regions of interest and preserving spatiotemporal resolution.

The paper investigates how the human prefrontal cortex encodes auditory sequences to predict future events, showing distinct roles for orbitofrontal and lateral PFC regions.

The paper shows that pre-target beta-band neural activity predicts the sharpness of amplitude envelopes in rhythmic sequences, influencing temporal perception of sounds.

This study examines how orbitofrontal cortex lesions affect auditory predictive processing at different hierarchical levels using ERP responses to tone sequences.

This paper introduces two algorithms, GridFit and CEPA, for accurate and automatic localization of intracranial electrodes and brain-shift compensation, validated on real patient data.

This study shows how oscillatory synchrony and continuous population dynamics in prefrontal cortex integrate context into action plans during goal-directed behavior.