Fangfang Hong

This study characterizes human color discrimination thresholds using a novel psychophysical model and adaptive trial placement, achieving comprehensive results with fewer trials.

The paper introduces a Bayesian adaptive method to estimate individual sensory representations by optimizing stimulus distortions based on perceptual judgments.

The paper investigates audiovisual temporal recalibration by comparing observer models and finds that causal inference and modality-specific precision are necessary to explain the observed effects.

The paper shows humans use overconfident estimates of auditory spatial and audiovisual temporal uncertainty in perceptual decisions, challenging the assumption of optimal uncertainty accounting.

This study investigates how the brain recalibrates audiovisual spatial perception using cue reliability and causal inference, finding that the causal-inference model best explains the observed recalibration patterns.