Abstract System identification is a growing approach to sensory neurophysiology that
facilitates the development of quantitative functional models of sensory processing. This …

Our perception of a visual scene changes rapidly in time, even when the scene itself does
not. It is increasingly clear that understanding how the visual percept changes in time is …

The organization of primary visual cortex (V1) into functional maps makes individual cells
operate in a variety of contexts. For instance, some neurons lie in regions of fairly …

We introduce a novel class of white-noise analyses, named local spectral reverse
correlation (LSRC), which is capable of revealing various aspects of visual receptive field …

The concept of receptive field is a linear, feed-forward view of visual signal processing.
Frequently used models of V1 neurons, like the dynamic linear filter static nonlinearity …

Humans and animals use visual cues such as brightness and color boundaries to identify
objects and navigate through environments. However, even when these cues are not …

Spiking neurons translate analog intracellular variables into a sequence of action potentials.
A simplified model of this transformation is one in which an underlying “generator potential,” …

A variety of studies in the visual system demonstrate that coarse spatial features are
processed before those of fine detail. This aspect of visual processing is assumed to …

Recent studies have shown that the initial responses evoked by a stimulus in neurons of
primary visual cortex are dominated by low spatial frequency information in the image …

Neurons with surround suppression have been implicated in processing high-order visual
features such as contrast-or texture-defined boundaries and subjective contours. However …