Neural Repetition Suppression Modulates Time Perception: Evidence From Electrophysiology and Pupillometry.
Wouter Kruijne1, Christian N L Olivers2, Hedderik van Rijn1
1Rijksuniversiteit Groningen.
Journal of Cognitive Neuroscience
|September 8, 2021
Summary
Sensory response magnitude, not arousal, influences how long events seem to last. This study shows that changes in sensory input, even when predictable, affect time perception, demonstrating a direct link between sensory magnitude and duration estimation.
Area of Science:
- Cognitive Neuroscience
- Psychophysics
- Human Perception
Background:
- Human time perception is subjective and influenced by factors like stimulus intensity and surprise.
- Two main hypotheses explain temporal biases: arousal-driven neural clock speed and magnitude coding of sensory responses.
- Existing experimental designs often confound arousal and sensory magnitude, hindering clear dissociation.
Purpose of the Study:
- To investigate whether sensory response magnitude or arousal levels primarily influence perceived duration.
- To dissociate the effects of sensory magnitude from arousal in time perception.
- To test the magnitude coding hypothesis against the arousal hypothesis in temporal illusions.
Main Methods:
- Two temporal discrimination experiments using flashing stimuli to mark interval start and end.
- Manipulated stimulus location to induce differential sensory responses via neural repetition suppression.
- Measured electroencephalography (EEG) and pupil size to assess neural and physiological correlates.
Main Results:
- Intervals marked by changing stimuli were perceived as longer than those with repeating stimuli.
- Event-related potentials (ERPs), specifically P2, and pupil constriction correlated with perceived duration.
- Surprise and arousal indicators (P3 amplitude, pupil dilation) were not affected by stimulus changes or repetitions.
Conclusions:
- Sensory response magnitude directly impacts time perception, independent of arousal levels.
- Findings support the magnitude coding hypothesis for temporal biases.
- Demonstrates that predictable changes in sensory magnitude can create temporal illusions under constant arousal.


