Dominik Heib

Dominik Heib

Alumnus

Publications

2026

Sleep Preserves, Wake Differentiates: Strength‐Dependent Forgetting of Declarative Memories Across the Retention Interval: Manuel Schabus, Mohamed S. Ameen, Dominik P. J. Heib; Journal of Sleep Research

2024

Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data: Stefan Kranzinger, Sebastian Baron, Christina Kranzinger, Dominik Heib, Christian Borgelt; Behaviormetrika

2023

From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability: Pavlos I. Topalidis, Sebastian Baron, Dominik P. J. Heib, Esther-Sevil Eigl, Alexandra Hinterberger, Manuel Schabus; Sensors

Soccer, Sleep, Repeat: Effects of Training Characteristics on Sleep Quantity and Sleep Architecture: Patricia Frytz, Dominik Philip Johannes Heib, Kerstin Hödlmoser; Life

The Virtual Sleep Lab—A Novel Method for Accurate Four-Class Sleep Staging Using Heart-Rate Variability from Low-Cost Wearables: Pavlos Topalidis, Dominik Philip Johannes Heib, Sebastian Baron, Esther-Sevil Eigl, Alexandra Hinterberger, Manuel Schabus; Sensors

2022

Imagetic and affective measures of memory reverberation diverge at sleep onset in association with theta rhythm: Natália Bezerra Mota, Ernesto Soares, Edgar Altszyler, Ignacio Sánchez-Gendriz, Vincenzo Muto, Dominik Heib, Diego F. Slezak, Mariano Sigman, Mauro Copelli, Manuel Schabus, Sidarta Ribeiro; NeuroImage

The brain selectively tunes to unfamiliar voices during sleep: Mohamed Ameen, Dominik Philip Johannes Heib, Christine Blume, Manuel Schabus; Journal of Neuroscience

Slow oscillation-spindle coupling strength predicts real-life gross-motor learning in adolescents and adults: Michael A. Hahn, Kathrin Bothe, Dominik Heib, Manuel Schabus, Randolph F. Helfrich, Kerstin Hoedlmoser; eLife