Laminar distribution of neurons with different types of receptive fields in the rabbit visual cortex

1985 ◽  
Vol 17 (1) ◽  
pp. 16-22
Author(s):  
A. V. Revishchin
Keyword(s):  
Visual Cortex ◽  
Receptive Fields ◽  
Laminar Distribution ◽  
Different Types ◽  
Rabbit Visual Cortex

Development of Rabbit Visual Cortex: Late Appearance of a Class of Receptive Fields

Science ◽  
1973 ◽  
Vol 180 (4091) ◽  
pp. 1185-1187 ◽  
Author(s):  
P. Grobstein ◽  
K. L. Chow ◽  
P. D. Spear ◽  
L. H. Mathers
Keyword(s):  
Visual Cortex ◽  
Receptive Fields ◽  
Rabbit Visual Cortex

scholarly journals Development of receptive fields in rabbit visual cortex: changes in time course due to delayed eye-opening.

1975 ◽  
Vol 72 (4) ◽  
pp. 1543-1545 ◽  
Author(s):  
P. Grobstein ◽  
K. L. Chow ◽  
P. C. Fox
Keyword(s):  
Visual Cortex ◽  
Time Course ◽  
Receptive Fields ◽  
Eye Opening ◽  
Rabbit Visual Cortex

Receptive Fields of Dendritic Potentials from Within the Visual Cortex of the Cat

1965 ◽  
Author(s):  
John A. Satterberg ◽  
Leo Ganz
Keyword(s):  
Visual Cortex ◽  
Receptive Fields

The Effect of Dynamic Synapses on Spatio-temporal Receptive Fields in Visual Cortex

1997 ◽  
Author(s):  
Omer B. Artun ◽  
Harel Z. Shouval ◽  
Leon N. Cooper
Keyword(s):  
Visual Cortex ◽  
Receptive Fields ◽  
Dynamic Synapses ◽  
Spatio Temporal

The cells of origin of the corpus callosum in rabbit visual cortex

1978 ◽  
Vol 156 (1) ◽  
pp. 129-134 ◽  
Author(s):  
Harvey A. Swadlow ◽  
Theodore G. Weyand ◽  
Stephen G. Waxman
Keyword(s):  
Visual Cortex ◽  
Corpus Callosum ◽  
Cells Of Origin ◽  
Rabbit Visual Cortex

Mechanism of the "enhancing" response in the rabbit visual cortex

1971 ◽  
Vol 2 (1) ◽  
pp. 50-56
Author(s):  
A. Ya. Supin
Keyword(s):  
Visual Cortex ◽  
Rabbit Visual Cortex

Generalized signal-tuned Gabor approach for signal representation and analysis

2017 ◽  
Vol 28 (01) ◽  
pp. 1750001 ◽  
Author(s):  
José R. A. Torreão
Keyword(s):  
Fourier Transform ◽  
Visual Cortex ◽  
Fourier Transforms ◽  
Fractional Fourier Transform ◽  
Receptive Fields ◽  
Gabor Functions ◽  
Plausible Model ◽  
Spectral Signal ◽  
Potential Applications ◽  
Space Frequency

The signal-tuned Gabor approach is based on spatial or spectral Gabor functions whose parameters are determined, respectively, by the Fourier and inverse Fourier transforms of a given “tuning” signal. The sets of spatial and spectral signal-tuned functions, for all possible frequencies and positions, yield exact representations of the tuning signal. Moreover, such functions can be used as kernels for space-frequency transforms which are tuned to the specific features of their inputs, thus allowing analysis with high conjoint spatio-spectral resolution. Based on the signal-tuned Gabor functions and the associated transforms, a plausible model for the receptive fields and responses of cells in the primary visual cortex has been proposed. Here, we present a generalization of the signal-tuned Gabor approach which extends it to the representation and analysis of the tuning signal’s fractional Fourier transform of any order. This significantly broadens the scope and the potential applications of the approach.

Receptive fields in the visual cortex of the opossum

1973 ◽  
Vol 63 ◽  
pp. 362-367 ◽  
Author(s):  
Carlos Eduardo Rocha-Miranda ◽  
Rocco A. Bombardieri ◽  
Francisco M. de Monasterio ◽  
Rafael Linden
Keyword(s):  
Visual Cortex ◽  
Receptive Fields

Ferrier lecture - Functional architecture of macaque monkey visual cortex

1977 ◽  
Vol 198 (1130) ◽  
pp. 1-59 ◽  
Keyword(s):  
Visual Cortex ◽  
Visual Field ◽  
Receptive Field ◽  
Striate Cortex ◽  
Single Cells ◽  
Ocular Dominance ◽  
Receptive Fields ◽  
Macaque Monkey ◽  
Area 17 ◽  
Orientation Specificity

Of the many possible functions of the macaque monkey primary visual cortex (striate cortex, area 17) two are now fairly well understood. First, the incoming information from the lateral geniculate bodies is rearranged so that most cells in the striate cortex respond to specifically oriented line segments, and, second, information originating from the two eyes converges upon single cells. The rearrangement and convergence do not take place immediately, however: in layer IVc, where the bulk of the afferents terminate, virtually all cells have fields with circular symmetry and are strictly monocular, driven from the left eye or from the right, but not both; at subsequent stages, in layers above and below IVc, most cells show orientation specificity, and about half are binocular. In a binocular cell the receptive fields in the two eyes are on corresponding regions in the two retinas and are identical in structure, but one eye is usually more effective than the other in influencing the cell; all shades of ocular dominance are seen. These two functions are strongly reflected in the architecture of the cortex, in that cells with common physiological properties are grouped together in vertically organized systems of columns. In an ocular dominance column all cells respond preferentially to the same eye. By four independent anatomical methods it has been shown that these columns have the form of vertically disposed alternating left-eye and right-eye slabs, which in horizontal section form alternating stripes about 400 μm thick, with occasional bifurcations and blind endings. Cells of like orientation specificity are known from physiological recordings to be similarly grouped in much narrower vertical sheeet-like aggregations, stacked in orderly sequences so that on traversing the cortex tangentially one normally encounters a succession of small shifts in orientation, clockwise or counterclockwise; a 1 mm traverse is usually accompanied by one or several full rotations through 180°, broken at times by reversals in direction of rotation and occasionally by large abrupt shifts. A full complement of columns, of either type, left-plus-right eye or a complete 180° sequence, is termed a hypercolumn. Columns (and hence hypercolumns) have roughly the same width throughout the binocular part of the cortex. The two independent systems of hypercolumns are engrafted upon the well known topographic representation of the visual field. The receptive fields mapped in a vertical penetration through cortex show a scatter in position roughly equal to the average size of the fields themselves, and the area thus covered, the aggregate receptive field, increases with distance from the fovea. A parallel increase is seen in reciprocal magnification (the number of degrees of visual field corresponding to 1 mm of cortex). Over most or all of the striate cortex a movement of 1-2 mm, traversing several hypercolumns, is accompanied by a movement through the visual field about equal in size to the local aggregate receptive field. Thus any 1-2 mm block of cortex contains roughly the machinery needed to subserve an aggregate receptive field. In the cortex the fall-off in detail with which the visual field is analysed, as one moves out from the foveal area, is accompanied not by a reduction in thickness of layers, as is found in the retina, but by a reduction in the area of cortex (and hence the number of columnar units) devoted to a given amount of visual field: unlike the retina, the striate cortex is virtually uniform morphologically but varies in magnification. In most respects the above description fits the newborn monkey just as well as the adult, suggesting that area 17 is largely genetically programmed. The ocular dominance columns, however, are not fully developed at birth, since the geniculate terminals belonging to one eye occupy layer IVc throughout its length, segregating out into separate columns only after about the first 6 weeks, whether or not the animal has visual experience. If one eye is sutured closed during this early period the columns belonging to that eye become shrunken and their companions correspondingly expanded. This would seem to be at least in part the result of interference with normal maturation, though sprouting and retraction of axon terminals are not excluded.

Sign in / Sign up

Export Citation Format

Share Document