Within-species comparison of population receptive fields determined with fMRI and electrophysiology in nonhuman primates reveals the neuronal basis of blood-oxygen-level-dependent-based retinotopy.

Topographic maps of space in frontal and parietal cortex are organized into clusters, similar to visual cortex, where multiple maps of polar angle share a confluent fovea.

The sampling of visual space is not only warped by attention towards locations but also depends on attended features.

Receptive fields for time in the hippocampus, like receptive fields for retinal space and receptive fields for numerosity, obey the Weber-Fechner law.

The direction-selective circuit in the retina adjusts the contributions of excitatory and inhibitory mechanisms under different stimulus conditions to generate context-dependent neural representations of visual features.

The retina compensates for rod death and deteriorating cones to retain high-fidelity visual signaling to the brain.

The BB model explains spatial cognition in terms of interactions between specific neuronal populations, providing a common computational framework for the human neuropsychological and in vivo animal electrophysiological literatures.

Nonlinear receptive field subunits in retinal ganglion cells are isolated and characterized by clustering spike-triggered stimuli, and validated on population responses to naturalistic and novel closed loop stimuli.

Neurite arbors of VGluT3-expressing amacrine cells (VG3-ACs) process visual information locally uniformly detecting object motion while varying in contrast preferences; and in spite of extensive overlap between arbors of neighboring cells population activity in the VG3-AC plexus encodes stimulus positions with subcellular precision.