Single-peaked tuning curves found in early sensory areas are more optimized for quick decoding than accuracy, while multi-peaked tuning curves (e.g. grid cells) give higher accuracy but only at longer time scales.

Measures of visuocortical activity during aversive generalization learning revealed sharpened representations of facial identity, reflecting inhibitory interactions between neuronal populations that represent facial features associated with threat versus safety.

Curvature-preferring neurons in monkey V4 cluster into 0.5-mm patches, which highlights the importance of curvature detection in visual object recognition and the key functional role of V4 in this process.

Curves and corners are separately encoded by neurons clustered into functional domains in macaque V4.

Single-unit recordings from cortical neurons in behaving macaque monkeys expose differential aspects of multisensory plasticity across different multisensory areas during visual–vestibular recalibration.

Retinal physiology and anatomy and visual behavior reveal how sensory circuits in the retina can shape an organism’s eye movements over a range of ethologically relevant stimulus conditions.

The ubiquitin ligase c-Cbl preferentially targets unique-region phosphorylated LynA for rapid degradation, regulating its expression and differentially tuning signaling responsiveness in macrophages and mast cells.

Hierarchical transformations of visual representations, saccade-related activity, and sensorimotor associations occur in parallel at the juncture of visual and parietal cortex.

Visual area MT signals binocular disparity quickly and robustly, whereas area V4 or its upstream area transforms the nature of the signals to derive a more sophisticated depth representation.

Neurophysiological and behavioral approaches reveal how coordinated input from descending pathways shapes the tuning properties of electrosensory neurons in order to optimize coding of natural stimuli through temporal whitening.