A new method for analyzing continuous psychophysics experiments estimates not only perceptual uncertainty from tracking tasks but also action variability, intrinsic costs, and subjective internal models.

Psychophysics experiments and EEG recordings reveal that people's performance in detecting unexpected changes in complex auditory scenes can be modeled as a process of sensory evidence accumulation.

An optimization principle allows natural-image data to predict human sensitivity to synthetic, un-natural textures with multiple gray levels.

Humans and other animals have different strategies for extracting the pitch of sounds, potentially driven by the species-specific frequency selectivity of the ear.

Human-like color categories emerge in a Deep Neural Network trained only on object recognition.

Looking away from a salient visual stimulus pits the reflexive urge to look toward it against the voluntary intention not to, and this conflict is resolved within tens of milliseconds.

Humans are biased in their assessment of sensory information by their own preceding categorical judgment in an attempt to remain self-consistent.

High-resolution foveal imaging and micro-psychophysics reveal that the human oculomotor system finely adjusts drift motion of the eye in an acuity task to enhance retinal sampling, achieving sub-cell resolution.

Psychophysical experiments and computational modeling demonstrate the importance of transient, instead of sustained, channels for the integration of audiovisual signals.