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Updated: May 18, 2026
10:51
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
More is not always better: adaptive gain control explains dissociation between perception and action
Claudio Simoncini1, Laurent U Perrinet, Anna Montagnini
1Team InViBe, Institut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille Université, Marseille, France.
Nature Neuroscience
|October 2, 2012
Summary
The human visual system processes motion signals differently for action versus perception. Adaptive gain control adjusts how motion information is pooled, optimizing for specific behavioral tasks like object speed detection.
Area of Science:
- Neuroscience
- Visual Perception
- Computational Neuroscience
Background:
- The visual system processes motion information across various spatiotemporal scales using specialized channels.
- The mechanisms underlying how the brain integrates motion signals to perceive object speed, and whether this process is task-dependent, remain unclear.
Purpose of the Study:
- To investigate how the human visual system computes object speed in different behavioral contexts.
- To determine if motion signal pooling is generic or adaptively modulated by the specific task.
Main Methods:
- Utilized rich textured motion stimuli with varying bandwidths to probe the visual motion system.
- Compared responses in a visuomotor task (ocular following) versus a perceptual task (speed discrimination).
Main Results:
- Ocular following responses effectively utilized the full range of motion signals.
- Perceptual speed discrimination performance degraded with increasing stimulus bandwidth.
- These opposing trends suggest an adaptive gain control mechanism.
Conclusions:
- The visual system employs adaptive gain control, adjusting divisive normalization pools based on behavioral demands.
- This adaptive mechanism optimizes motion processing for distinct perceptual and action-oriented tasks.
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