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.

MRGPRD and MRGRPX1 are co-expressed in primate DRG neurons, but β-alanine and BAM8-22, preferentially activate CMH-subclasses, and co-activating different cutaneous nociceptors by pruritogens does not change itch sensation to pain.

Temporal continuity-induced plasticity in individual neurons of inferior temporal cortex builds neural representations that underlie robust core object recognition behavior.

Behavioral and computational results show that the perception of our body as our own depends on Bayesian probabilistic reasoning that take into account the variations in sensory uncertainty when integrating visual and somatosensory cues.