Murray Shanahan

The paper introduces a predictive processing model of time perception that incorporates memory, attention, and stimulus content, validated through experiments with 13,000 participants.

This study proposes a model of human time perception based on perceptual classification, showing that an artificial neural system can estimate duration by tracking salient activation changes in response to natural scenes.

This study uses a spiking neural model to show how cortical oscillations, dopamine, and time scales influence action selection in the basal ganglia, proposing the 'gearbox' hypothesis.