Peter Ulric Tse

Seeing at Will: Shared Neural Representations of Motion Perception and Intention

The paper shows that intention to perceive motion in ambiguous stimuli pre-activates motion-related neural representations in dorsal visual areas before perception occurs.

DeepAction: A MATLAB toolbox for automated classification of animal behavior in video

DeepAction is a MATLAB toolbox that uses deep learning to automate animal behavior classification in video, achieving high accuracy with minimal training data and reducing annotation time.

The perceived position of a moving object is reset by temporal, not spatial limits

The paper investigates whether motion-induced position shifts reset due to time or distance limits, finding that resets occur randomly over time, not distance.

Neural correlates of conscious visual perception lie outside the visual system: evidence from the double-drift illusion

The paper uses fMRI and multivariate pattern analysis to show that the perceived path in the double-drift illusion is not represented in early visual areas but emerges in higher-order brain regions.

Still moving: The double-drift illusion survives smooth pursuit.

The study investigates the double-drift illusion, showing that eye movement tracking does not reduce the illusion, and that the illusion is eliminated on black backgrounds.

Multivariate directed connectivity analysis (MDCA) enables decoding of directed interactions in neural and social networks

The paper introduces MDCA to analyze directed interactions in networks and applies it to neural and social datasets to understand information processing.