Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.

The paradoxical spatial suppression of visual motion perception can result from a trade-off between sensitivity and noise in sensory neuron populations.

A spatially-tuned normalization model accounts for neuronal responses to attended or unattended stimuli that are presented inside the classical receptive field or the surround, and explains various other observations.

Spatial suppression during motion perception reflects reduced neural response magnitudes in visual areas but is not primarily driven by neural inhibition.

Neurons responsible for detecting local visual features are modulated by visual and motor-related forms of gain control that increase the threshold for detection when self-generated movement signals would dominate visual input.

Similar to spontaneous eye blinks perceptual stability, despite small saccades, is related to actively silencing transients in the high-level ends of both ventral and dorsal visual cortices, while activity in low-level visual cortex remains unstable.

Neural computations necessary for efficient control of saccades capture the phenomenon of saccadic suppression, which suggests that neural resources are shared for perception and control.

The convergence of two visual pathways at the level of retinal bipolar cells accounts for key features of ganglion cell responses.

In response to the question "Have you seen this image before?", remembering and forgetting can be accounted for by a weighted linear read-out of memory signals in monkey inferotemporal cortex.

Combining GABA with fMRI measurements in the human brain uncovers distinct suppression mechanisms that optimize perceptual decisions through learning and experience-dependent plasticity in the visual cortex.