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

Single unit recordings have provided us with a basis for understanding the auditory system,
especially about how it behaves under stimulation with simple sounds such as clicks and …

The stimulus–response function of many visual and auditory neurons has been described by
a spatial-temporal receptive field (STRF), a linear model that for mathematical reasons has …

We present a generalized reverse correlation technique that can be used to estimate the
spatio-temporal receptive fields (STRFs) of sensory neurons from their responses to arbitrary …

Studies of the primary visual cortex (V1) have produced models that account for neuronal
responses to synthetic stimuli such as sinusoidal gratings. Little is known about how these …

The spectrotemporal receptive field (STRF) is a functional descriptor of the linear processing
of time-varying acoustic spectra by the auditory system. By cross-correlating sustained …

Area V2 is a major visual processing stage in mammalian visual cortex, but little is currently
known about how V2 encodes information during natural vision. To determine how V2 …

Neurons in sensory cortex are tuned to diverse features in natural scenes. But what
determines which features neurons become selective to? Here we explore the idea that …

Neurons in sensory cortices are often assumed to be “feature detectors”, computing simple
and then successively more complex features out of the incoming sensory stream. These …

Neurons in cortical area V4 respond selectively to complex visual patterns such as curved
contours and non-Cartesian gratings. Most previous experiments in V4 have measured …