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.

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

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

Psychophysical measures of human sensitivity to visual patterns reveal that the brain preferentially processes those features of stimuli that are more variable in the natural world.

Heterogeneity in perceptual sensitivity of human cone-mediated vision across wavelength originates in the cone photoreceptors, where S cones exhibit distinct functional properties in comparison to L and M cones.

Fixational eye movements transform the spatial scene into temporal modulations on the retina, which, together with the known sensitivities of retinal neurons, provide a comprehensive account of human spatial sensitivity.

Visual sensitivity to correlation patterns in rats matches that previously measured in humans, as well as predictions from efficient coding theory based on the statistics of natural images.

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.

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.

Contrasting with neural network theories, a study of the cross-species perception of dynamic faces with highly realistic human and monkey avatars reveals independent perceptual encoding of facial shape and expression.