Martin A. Giese

This study shows rhesus monkeys can categorize facial expressions and generalize to novel stimuli, with performance influenced by expression components and signaler characteristics.

This study shows that PMv activity during action observation reflects variables related to the observer's own action rather than just the observed action.

The paper shows humans can follow eye-gaze cues from both human and rhesus monkey avatars equally well, challenging the idea that ocular morphology limits gaze-following ability.

This study shows rhesus monkeys can use eye gaze to direct attention, but only when gaze is combined with head movement or when the stimulus is close, suggesting eye gaze is not uniquely human.

This study uses fMRI to show that occipitotemporal cortex encodes biomechanically possible and impossible movements, with different regions processing detailed biomechanical features versus abstract categorical information.

This paper investigates how the nervous system represents arm movements in the presence of kinematic redundancies, finding that absolute reference frames better represent joint space for inverse kinematics.

The paper develops a pipeline for realistic 3D macaque body animation using multi-camera markerless motion capture, showing high accuracy and perceptual similarity to real videos.

This study identifies a brain network specific to human body perception using fMRI and ICA analysis, showing species selectivity in key regions.

The paper investigates how dynamic facial expressions are perceptually encoded across species, finding that face dynamics are represented independently of facial shape.

This study shows that wearing rigid foot soles improves balance during beam walking, but does not transfer to improved performance with bare feet, suggesting a mechanical rather than neural effect.

This study examines cerebellar involvement in reward-based motor learning by comparing patients with focal lesions to controls in a cart-pole balancing task.

This study investigates how reward-based learning and motor adaptation interact during skill acquisition with changing system dynamics, finding that gradual changes support learning despite short-term performance drops.

This study shows that motor training improves the precision of perceptual state extrapolation by refining internal forward models, even without explicit perceptual training.

The paper presents an improved Kinect-based motion capturing system for gait assessment that is flexible, easy to set up, and provides high accuracy comparable to a gold standard system.