Search results for key=Dau1980 : 1 match found.

Refereed full papers (journals, book chapters, international conferences)

1980

@article{Dau1980,
	vgclass =	{refpap},
	author =	{John G. Daugman},
	title =	{Two-dimensional Spectral Analysis of Cortical Receptive
	Field Profiles},
	journal =	{Vision Research},
	volume =	{20},
	number =	{10},
	pages =	{847--856},
	year =	{1980},
	url =	{http://dx.doi.org/10.1016/0042-6989(80)90065-6},
	abstract =	{Most vision research embracing the spatial frequency
	paradigm has been conceptually and mathematically a one-dimensional
	analysis of two-dimensional mechanisms. Spatial vision models and the
	experiments sustaining them have generally treated spatial frequency as
	a one-dimensional variable, even though receptive fields and retinal
	images are two-dimensional and linear transform theory obliges any
	frequency analysis to preserve dimension. Four models of cortical
	receptive fields are introduced and studied here in 2D form, in order
	to illustrate the relationship between their excitatory/inhibitory
	spatial structure and their resulting 2D spectral properties. It
	emerges that only a very special analytic class of receptive fields
	possess independent tuning functions for spatial frequency and
	orientation; namely, those profiles whose two-dimensional Fourier
	Transforms are expressible as the separable product of a radial
	function and an angular function. Furthermore, only such receptive
	fields would have the same orientation tuning curve for single bars as
	for gratings. All classes lacking this property would describe cells
	responsive to different orientations for different spatial frequencies
	and vice versa; this is shown to be the case, for example, for the
	Hubel \& Wiesel model of cortical orientation-tuned simple cells
	receiving inputs from an aligned row of center/surround LGN cells. When
	these results are considered in conjunction with psychophysical
	evidence for nonseparability of spatial frequency and orientation
	tuning properties within a "channel", it becomes mandatory that future
	spatial vision research of the Fourier genre take on an explicitly
	two-dimensional character.},
}