Contrast-Dependent Changes in Spatial Frequency Tuning of Macaque V1 Neurons: Effects of a Changing Receptive Field Size

2002 ◽  
Vol 88 (3) ◽  
pp. 1363-1373 ◽  
Author(s):  
Michael P. Sceniak ◽  
Michael J. Hawken ◽  
Robert Shapley
Keyword(s):  
Receptive Field ◽  
Spatial Frequency ◽  
Frequency Tuning ◽  
Fundamental Property ◽  
Spatial Summation ◽  
Field Size ◽  
Stimulus Contrast ◽  
Tuning Curves ◽  
Spatial Frequency Tuning ◽  
Receptive Field Organization

Previous studies on single neurons in primary visual cortex have reported that selectivity for orientation and spatial frequency tuning do not change with stimulus contrast. The prevailing hypothesis is that contrast scales the response magnitude but does not differentially affect particular stimuli. Models where responses are normalized over contrast to maintain constant tuning for parameters such as orientation and spatial frequency have been proposed to explain these results. However, our results indicate that a fundamental property of receptive field organization, spatial summation, is not contrast invariant. We examined the spatial frequency tuning of cells that show contrast-dependent changes in spatial summation and have found that spatial frequency selectivity also depends on stimulus contrast. These results indicate that contrast changes in the spatial frequency tuning curves result from spatial reorganization of the receptive field.

Receptive Field Size and Response Latency Are Correlated Within the Cat Visual Thalamus

2005 ◽  
Vol 93 (6) ◽  
pp. 3537-3547 ◽  
Author(s):  
Chong Weng ◽  
Chun-I Yeh ◽  
Carl R. Stoelzel ◽  
Jose-Manuel Alonso
Keyword(s):  
Receptive Field ◽  
Spatial Frequency ◽  
Response Latency ◽  
Time Course ◽  
Frequency Tuning ◽  
Receptive Fields ◽  
Cortical Cell ◽  
Field Size ◽  
Receptive Field Size ◽  
Spatial Frequency Tuning

Each point in visual space is encoded at the level of the thalamus by a group of neighboring cells with overlapping receptive fields. Here we show that the receptive fields of these cells differ in size and response latency but not at random. We have found that in the cat lateral geniculate nucleus (LGN) the receptive field size and response latency of neighboring neurons are significantly correlated: the larger the receptive field, the faster the response to visual stimuli. This correlation is widespread in LGN. It is found in groups of cells belonging to the same type (e.g., Y cells), and of different types (i.e., X and Y), within a specific layer or across different layers. These results indicate that the inputs from the multiple geniculate afferents that converge onto a cortical cell (approximately 30) are likely to arrive in a sequence determined by the receptive field size of the geniculate afferents. Recent studies have shown that the peak of the spatial frequency tuning of a cortical cell shifts toward higher frequencies as the response progresses in time. Our results are consistent with the idea that these shifts in spatial frequency tuning arise from differences in the response time course of the thalamic inputs.

Effects of rearing kittens with convergent strabismus on development of receptive-field properties in striate cortex neurons

1983 ◽  
Vol 50 (1) ◽  
pp. 265-286 ◽  
Author(s):  
Y. M. Chino ◽  
M. S. Shansky ◽  
W. L. Jankowski ◽  
F. A. Banser
Keyword(s):  
Receptive Field ◽  
Spatial Frequency ◽  
Striate Cortex ◽  
Frequency Tuning ◽  
Tuning Curves ◽  
Spatial Frequency Tuning ◽  
Receptive Field Properties ◽  
Convergent Strabismus ◽  
Striate Neurons ◽  
Contrast Thresholds

Convergent strabismus was induced surgically in seven kittens at 3 wk of age. Recordings were made in 131 cells in the striate cortex of these strabismic kittens after maturation, and the results were compared to the data obtained from 140 striate neurons in normally reared cats. All our samples had receptive fields (RFs) within 5 degrees of the area centralis. The spatial and temporal response properties were quantitatively analyzed by using drifting sinusoidal gratings of various contrasts as well as spatial and temporal frequencies. In contrast to other reports, the receptive-field properties of the striate neurons exclusively driven or dominated by the deviating eye were quite abnormal. The spatial frequency tuning curves in strabismic cats were different from those obtained from normals in that the optimal spatial frequencies and spatial resolutions were shifted to lower values and the bandwidths were significantly broader. The contrast-response functions show that contrast thresholds, measured at the optimal spatial frequency, were significantly higher and the slope of the functions much flatter in strabismic animals. Moreover, receptive-field sizes were much larger and the sharpness of orientation tuning was reduced in strabismic cats. Direction selectivity, however, was normal in those animals. The temporal frequency tuning curves were also abnormal, particularly in that temporal resolution was considerably reduced in strabismic cats compared with normally reared cats. In addition, many cells in strabismic animals exhibited much longer latencies to visual and optic chiasm (OX) stimulations. All these effects, to our great surprise, were also observed in the striate units controlled by the nondeviating eye, although the magnitude of the alteration depends on the receptive-field property. The abnormalities found in spatial frequency tuning, contrast thresholds, and RF sizes were as severe as those revealed in the deviating eye. On the other hand, the effects on other RF properties were minimal or less severe. These physiological findings correspond very well with results from behavioral measurements of spatial contrast sensitivity in the same cats reported elsewhere. It is concluded from these results that the nondeviating eye in convergent strabismic animals, and perhaps humans, should not always be presumed "normal."

The effect of threshold on the relationship between the receptive-field profile and the spatial-frequency tuning cure in simple cells of the cat's striate cortex

1989 ◽  
Vol 3 (5) ◽  
pp. 445-454 ◽  
Author(s):  
Y. Tadmor ◽  
D. J. Tolhurst
Keyword(s):  
Fourier Transform ◽  
Spatial Frequency ◽  
Fourier Transforms ◽  
Frequency Tuning ◽  
Weighting Function ◽  
Tuning Curve ◽  
Spatial Summation ◽  
Response Threshold ◽  
Simple Cells ◽  
Spatial Frequency Tuning

AbstractIt is believed that spatial summation in most simple cells is a linear process. If this were so, then the Fourier transform of a simple cell's line weighting function should predict the cell's spatial frequency tuning curve. We have compared such predictions with experimental measurements and have found a consistent discrepancy: the predicted tuning curve is much too broad. We show qualitatively that this kind of discrepancy is consistent with the well-known threshold nonlinearity shown by most cortical cells. We have tested quantitatively whether a response threshold could explain the observed disagreements between predictions and measurements: a least-squares minimization routine was used to fit the inverse Fourier Transform of the measured frequency tuning curve to the measured line weighting function. The fitting procedure permitted us to introduce a threshold to the reconstructed line weighting function. The results of the analysis show that, for all of the cells tested, the Fourier transforms produced better predictions when a response threshold was included in the model. For some cells, the actual magnitude of the response threshold was measured independently and found to be compatible with that suggested by the model. The effects of nonlinearities of spatial summation are considered.

Length and width tuning of neurons in the cat's primary visual cortex

1994 ◽  
Vol 71 (1) ◽  
pp. 347-374 ◽  
Author(s):  
G. C. DeAngelis ◽  
R. D. Freeman ◽  
I. Ohzawa
Keyword(s):  
Receptive Field ◽  
Spatial Frequency ◽  
Spatial Organization ◽  
Striate Cortex ◽  
Frequency Tuning ◽  
Variable Parameter ◽  
Visual Space ◽  
Similar Degree ◽  
Tuning Curves ◽  
Number Of Cycles

1. The classically defined receptive field of a visual neuron is the area of visual space over which the cell responds to visual stimuli. It is well established, however, that the discharge produced by an optimal stimulus can be modulated by the presence of additional stimuli that by themselves do not produce any response. This study examines inhibitory influences that originate from areas located outside of the classical (i.e., excitatory) receptive field. Previous work has shown that for some cells the response to a properly oriented bar of light becomes attenuated when the bar extends beyond the receptive field, a phenomenon known as end-inhibition (or length tuning). Analogously, it has been shown that increasing the number of cycles of a drifting grating stimulus may also inhibit the firing of some cells, an effect known as side-inhibition (or width tuning). Very little information is available, however, about the relationship between end- and side-inhibition. We have examined the spatial organization and tuning characteristics of these inhibitory effects by recording extracellularly from single neurons in the cat's striate cortex (Area 17). 2. For each cortical neuron, length and width tuning curves were obtained with the use of rectangular patches of drifting sinusoidal gratings that have variable length and width. Results from 82 cells show that the strengths of end- and side-inhibition tend to be correlated. Most cells that exhibit clear end-inhibition also show a similar degree of side-inhibition. For these cells, the excitatory receptive field is surrounded on all sides by inhibitory zones. Some cells exhibit only end- or side-inhibition, but not both. Data for 28 binocular cells show that length and width tuning curves for the dominant and nondominant eyes tend to be closely matched. 3. We also measured tuning characteristics of end- and side-inhibition. To obtain these data, the excitatory receptive field was stimulated with a grating patch having optimal orientation, spatial frequency, and size, whereas the end- or side-inhibitory regions were stimulated with patches of gratings that had a variable parameter (such as orientation). Results show that end- and side-inhibition tend to be strongest at the orientation and spatial frequency that yield maximal excitation. However, orientation and spatial frequency tuning curves for inhibition are considerably broader than those for excitation, suggesting that inhibition is mediated by a pool of neurons.(ABSTRACT TRUNCATED AT 400 WORDS)

On the variety of spatial frequency selectivities shown by neurons in area 17 of the cat

1981 ◽  
Vol 213 (1191) ◽  
pp. 183-199 ◽  
Keyword(s):  
Spatial Frequency ◽  
Visual Analysis ◽  
Frequency Tuning ◽  
Spatial Summation ◽  
Orientation Tuning ◽  
Area 17 ◽  
Tuning Curves ◽  
Spatial Frequencies ◽  
Functional Classes ◽  
Y Cells

The amplitudes of the responses of over 300 neurons in area 17 of the cat were examined as a function of the spatial frequency of moving sinusoidal gratings. The optimal spatial frequency and the bandwidth of the tuning curves were determined. The bandwidth varied considerably from neuron to neuron. Neurons optimally responsive to high spatial frequencies tended to have narrower tuning curves than those responsive to lower frequencies. Neurons with narrow spatial frequency tuning curves also tended to have narrow orientation tuning curves. These observations suggest that linear spatial summation tends to occur over a relatively constant area of visual field despite marked differences in each neuron’s optimal spatial frequency, a prediction of one model of visual analysis. There was little difference in either the optimal spatial frequencies or the bandwidths of tuning for different functional classes of neuron. Neurons with broad tuning curves tended to be restricted to lamina IV and its environs, being concentrated in the deep part of lamina II–III and the upper part of lamina IV ab. Neurons with very low optimal spatial frequencies were uncommon and tended to be found either at the border of laminae II–III and IV or in lamina V. These laminar distributions are discussed with respect to the laminar differences in the projection of l. g. n. X- and Y- cells to the visual cortex.

Organization of suppression in receptive fields of neurons in cat visual cortex

1992 ◽  
Vol 68 (1) ◽  
pp. 144-163 ◽  
Author(s):  
G. C. DeAngelis ◽  
J. G. Robson ◽  
I. Ohzawa ◽  
R. D. Freeman
Keyword(s):  
Visual Cortex ◽  
Receptive Field ◽  
Spatial Frequency ◽  
Frequency Tuning ◽  
Suppressive Effect ◽  
Preferred Orientation ◽  
Maximal Response ◽  
Spatial Phase ◽  
Spatial Frequency Tuning ◽  
Maximal Suppression

1. The response to an optimally oriented stimulus of both simple and complex cells in the cat's striate visual cortex (area 17) can be suppressed by the superposition of an orthogonally oriented drifting grating. This effect is referred to as cross-orientation suppression. We have examined the spatial organization and tuning characteristics of this suppressive effect with the use of extracellular recording techniques. 2. For a total of 75 neurons, we have measured the size of each cell's excitatory receptive field by use of rectangular patches of drifting sinusoidal gratings presented at the optimal orientation and spatial frequency. The length and width of these grating patches are varied independently. Receptive-field length and width are determined from the dimensions of the smallest grating patch required to elicit a maximal response. 3. The extent of the area from which cross-orientation suppression originates has been measured in an analogous manner. Each neuron is excited by a patch of drifting grating the same size as the receptive field. The response to this stimulus is modulated by a superimposed patch of grating having an orthogonal orientation. After selecting the spatial frequency that produces maximal suppression, the response of each cell is examined as a function of the length and width of the orthogonal (suppressive) grating patch. Results from 29 cells show that the dimensions of the orthogonal grating patch required to elicit maximal suppression are similar to, or smaller than, the dimensions of the excitatory receptive field. Thus cross-orientation suppression originates from within the receptive field. 4. For some cells the spatial frequency tuning of the suppressive effect is much broader than the spatial frequency tuning for excitation. In these cases it is possible to find a spatial frequency that produces suppression but not excitation. With the use of a suppressive stimulus having this spatial frequency, we examined the strength of suppression as a function of orientation for 11 cells. These tests show that suppression occurs at all orientations, including the preferred orientation for excitation. In some cases, suppression is somewhat stronger at the preferred orientation for excitation than at any other orientation. 5. For 12 cells we varied the relative spatial phase between the optimally oriented and orthogonal gratings. In all cases the magnitude of suppression is largely independent of the relative spatial phase. 6. For three binocular cells we examined whether the suppressive effect of a grating oriented orthogonal to the optimum could be mediated dichoptically.(ABSTRACT TRUNCATED AT 400 WORDS)

Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. II. Linearity of temporal and spatial summation

1993 ◽  
Vol 69 (4) ◽  
pp. 1118-1135 ◽  
Author(s):  
G. C. DeAngelis ◽  
I. Ohzawa ◽  
R. D. Freeman
Keyword(s):  
Receptive Field ◽  
Striate Cortex ◽  
Frequency Tuning ◽  
Temporal Frequency ◽  
Spatial Summation ◽  
Direction Selectivity ◽  
Simple Cells ◽  
Tuning Curves ◽  
Spatiotemporal Receptive Field ◽  
Temporal And Spatial

1. We have tested the hypothesis that simple cells in the cat's visual cortex perform a linear spatiotemporal filtering of the visual image. To conduct this study we note that a visual neuron behaves linearly if the responses to small, brief flashes of light are mathematically related, via the Fourier transform, to the responses elicited by sinusoidal grating stimuli. 2. We have evaluated the linearity of temporal and spatial summation for 118 simple cells recorded from the striate cortex (area 17) of adult cats and kittens at ages 4 and 8 wk postnatal. These neurons represent a subset of the population of cells for which we have described the postnatal development of spatiotemporal receptive-field structure in the preceding paper. Spatiotemporal receptive-field profiles are constructed, with the use of a reverse correlation technique, from the responses to random sequences of small bar stimuli that are brighter or darker than the background. Fourier analysis of spatiotemporal receptive-field profiles yields linear predictions of the cells' spatial and temporal frequency tuning. These predicted responses are compared with spatial and temporal frequency tuning curves measured by the use of drifting, sinusoidal-luminance grating stimuli. 3. For most simple cells, there is good agreement between spatial and temporal frequency tuning curves predicted from the receptive-field profile and those measured by the use of sinusoidal gratings. These results suggest that both spatial and temporal summation within simple cells are approximately linear. There is a tendency for predicted tuning curves to be slightly broader than measured tuning curves, a finding that is consistent with the effects of a threshold nonlinearity at the output of these neurons. In some cases, however, predicted tuning curves deviate from measured responses only at low spatial and temporal frequencies. This cannot be explained by a simple threshold nonlinearity. 4. If linearity is assumed, it should be possible to predict the direction selectivity of simple cells from the structure of their spatiotemporal receptive-field profiles. For virtually all cells, linear predictions correctly determine the preferred direction of motion of a visual stimulus. However, the strength of the directional bias is typically underestimated by a factor of about two on the basis of linear predictions. Consideration of the expansive exponential nonlinearity revealed in the contrast-response function permits a reconciliation of the discrepancy between measured and predicted direction selectivity indexes. 5. Overall, these findings show that spatiotemporal receptive-field profiles obtained with the use of reverse correlation may be used to predict a variety of response properties for simple cells.(ABSTRACT TRUNCATED AT 400 WORDS)

Quantitative Characterization of Visual Response Properties in the Mouse Dorsal Lateral Geniculate Nucleus

2003 ◽  
Vol 90 (6) ◽  
pp. 3594-3607 ◽  
Author(s):  
Matthew S. Grubb ◽  
Ian D. Thompson
Keyword(s):  
Spatial Frequency ◽  
Lateral Geniculate Nucleus ◽  
Frequency Tuning ◽  
Spatial Summation ◽  
Dorsal Lateral Geniculate Nucleus ◽  
Visual Response ◽  
Response Properties ◽  
Spatial Frequency Tuning ◽  
Lateral Geniculate ◽  
Dorsal Lateral Geniculate

We present a quantitative analysis of the visual response properties of single neurons in the dorsal lateral geniculate nucleus (dLGN) of wild-type C57Bl/6J mice. Extracellular recordings were made from single dLGN cells in mice under halothane and nitrous oxide anesthesia. After mapping the receptive fields (RFs) of these cells using reverse correlation of responses to flashed square stimuli, we used sinusoidal gratings to describe their linearity of spatial summation, spatial frequency tuning, temporal frequency tuning, and contrast response characteristics. All cells in our sample had RFs dominated by a single, roughly circular “center” mechanism that responded to either increases (on-center) or decreases (off-center) in stimulus luminance, and almost all cells passed a modified null test for linearity of spatial summation. A difference of Gaussians model was used to relate spatial frequency tuning to the spatial properties of cells' RFs, revealing that mouse dLGN cells have large RFs (center diameter approximately 11°) and correspondingly poor spatial resolution (approximately 0.2c/°). Temporally, most cells in the mouse dLGN respond best to stimuli of approximately 4 Hz. We looked for evidence of parallel processing in the mouse dLGN and found it only in a functional difference between on- and off-center cells: on-center cells were more sensitive to stimulus contrast than their off-center neighbors.

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