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Updated: Aug 13, 2026

Corticospinal Excitability Modulation During Action Observation
Published on: December 31, 2013
Kinematic features of movement tunes perception and action coupling
Thierry Pozzo1, Charalambos Papaxanthis, Jean Luc Petit
1INSERM-ERM 0207 Motricité-Plasticité, Université de Bourgogne, Campus Universitaire, BP 27877, F-21078 Dijon, France. thierry.pozzo@u-bourgogne.fr
Human motion perception relies on internal models of movement, not just visual cues. This study shows that our brains use learned kinematic details to predict the full trajectory of observed actions, even when parts are hidden.
Area of Science:
- Neuroscience
- Cognitive Science
- Human Motor Control
Background:
- Cortical activity persists after observed motion disappears, suggesting internal models reconstruct trajectories.
- Behavioral evidence for recalling internal models of action during motion observation is limited.
- It remains unclear if these internal models are tuned by movement kinematics in humans.
Purpose of the Study:
- To investigate if the human internal model of action recall during motion observation is influenced by kinematic features.
- To provide behavioral evidence for the role of internal models in extrapolating vanishing hand trajectories.
Main Methods:
- Subjects estimated vanishing and final positions of dot trajectories masked in the final part.
- Stimuli moved according to biological or non-biological kinematic laws of vertical arm pointing tasks.
- Performance was compared between biological and non-biological motion displays.
Main Results:
- Participants systematically overestimated vanishing and final positions for both directions and kinematics.
- Estimation precision decreased and variability increased when movements violated biological kinematic laws.
- This suggests motion inference involves more than visual extrapolation.
Conclusions:
- Motion estimation relies on internal models encoding specific kinematic details of arm movements.
- These internal models can be rapidly recalled during the observation of actions.
- This provides behavioral support for internal models in reconstructing missing trajectory information.
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