Marc O. Ernst

This study investigates how the auditory system tracks moving sound sources by integrating velocity and spatial error in a delayed frame, showing improved prediction with preceding head orientation.

This study shows that head movements create a perceptual bias in the direction of a moving sound source, similar to visual motion illusions, revealing errors in integrating auditory and proprioceptive cues.

This study shows that multisensory integration relies on transient input channels rather than sustained ones, using a new model that replicates experimental results and existing findings.

This study shows that individuals who regain sight later in life after congenital blindness have impaired visuomotor recalibration initially, but this ability improves with experience over time.

The paper identifies a dual-state parallel system in visuomotor adaptation that better explains behavioral data than a single Kalman filter model.

The paper introduces the R package MixedPsy for analyzing psychophysical data using GLMM and two-level approaches, providing tools for PSE and JND estimation and visualization.

This study shows that short-term monocular deprivation alters neural responses to visual and audio-visual events in an eye-specific manner, with increased excitability in the deprived eye and enhanced audio-visual responses in the undeprived eye.

This study uses a dynamic encoding model to uncover neural mechanisms of multisensory correlation computation in the human brain, showing strong fits in temporo-parietal cortices during causal inference tasks.

This study demonstrates that binaural integration improves vertical sound source localization by leveraging sound type-specific prior information.

This paper develops a neural model to simulate binaural signal integration with an adaptation mechanism, showing it extends the perceptual range of auditory space and improves localization precision.

The paper shows that humans can adapt to visual feedback delays across different tasks, resulting in a consistent 33% temporal aftereffect.

The paper develops a model of stabilized neoHebbian learning to explain how visual input guides the formation and maintenance of spatially aligned auditory maps in the colliculus.

This study shows humans can discriminate tactile speed on smooth surfaces using deformation and vibration cues, with similar precision to textured surfaces, but high-frequency vibrations impair performance.