Linear and nonlinear properties of simple cells of the striate cortex of the cat: two types of nonlinearity

1997 ◽  
Vol 117 (2) ◽  
pp. 281-291 ◽  
Author(s):  
V. D. Glezer ◽  
Vladimir E. Gauzelman
Keyword(s):  
Striate Cortex ◽  
Simple Cells ◽  
Nonlinear Properties ◽  
Linear And Nonlinear

scholarly journals Local Correlation-Based Circuitry Can Account for Responses to Multi-Grating Stimuli in a Model of Cat V1

2001 ◽  
Vol 86 (4) ◽  
pp. 1803-1815 ◽  
Author(s):  
T. Z. Lauritzen ◽  
A. E. Krukowski ◽  
K. D. Miller
Keyword(s):  
Striate Cortex ◽  
Simultaneous Presentation ◽  
Orientation Tuning ◽  
Inhibitory Input ◽  
Response Suppression ◽  
Cell Orientation ◽  
Simple Cells ◽  
Nonlinear Properties ◽  
Orthogonal Orientation ◽  
Model Circuit

In cortical simple cells of cat striate cortex, the response to a visual stimulus of the preferred orientation is partially suppressed by simultaneous presentation of a stimulus at the orthogonal orientation, an effect known as “cross-orientation inhibition.” It has been argued that this is due to the presence of inhibitory connections between cells tuned for different orientations, but intracellular studies suggest that simple cells receive inhibitory input primarily from cells with similar orientation tuning. Furthermore, response suppression can be elicited by a variety of nonpreferred stimuli at all orientations. Here we study a model circuit that was presented previously to address many aspects of simple cell orientation tuning, which is based on local intracortical connectivity between cells of similar orientation tuning. We show that this model circuit can account for many aspects of cross-orientation inhibition and, more generally, of response suppression by nonpreferred stimuli and of other nonlinear properties of responses to stimulation with multiple gratings.

Linear and nonlinear contributions to orientation tuning of simple cells in the cat's striate cortex

1999 ◽  
Vol 16 (6) ◽  
pp. 1115-1121 ◽  
Author(s):  
JUSTIN L. GARDNER ◽  
AKIYUKI ANZAI ◽  
IZUMI OHZAWA ◽  
RALPH D. FREEMAN
Keyword(s):  
Aspect Ratio ◽  
Striate Cortex ◽  
Tuning Curve ◽  
Spatial Summation ◽  
Orientation Selectivity ◽  
Orientation Tuning ◽  
Simple Cells ◽  
Size And Shape ◽  
Nonlinear Contribution ◽  
Linear And Nonlinear

Orientation selectivity is one of the most conspicuous receptive-field (RF) properties that distinguishes neurons in the striate cortex from those in the lateral geniculate nucleus (LGN). It has been suggested that orientation selectivity arises from an elongated array of feedforward LGN inputs (Hubel & Wiesel, 1962). Others have argued that cortical mechanisms underlie orientation selectivity (e.g. Sillito, 1975; Somers et al., 1995). However, isolation of each mechanism is experimentally difficult and no single study has analyzed both processes simultaneously to address their relative roles. An alternative approach, which we have employed in this study, is to examine the relative contributions of linear and nonlinear mechanisms in sharpening orientation tuning. Since the input stage of simple cells is remarkably linear, the nonlinear contribution can be attributed solely to cortical factors. Therefore, if the nonlinear component is substantial compared to the linear contribution, it can be concluded that cortical factors play a prominent role in sharpening orientation tuning. To obtain the linear contribution, we first measure RF profiles of simple cells in the cat's striate cortex using a binary m-sequence noise stimulus. Then, based on linear spatial summation of the RF profile, we obtain a predicted orientation-tuning curve, which represents the linear contribution. The nonlinear contribution is estimated as the difference between the predicted tuning curve and that measured with drifting sinusoidal gratings. We find that measured tuning curves are generally more sharply tuned for orientation than predicted curves, which indicates that the linear mechanism is not enough to account for the sharpness of orientation-tuning. Therefore, cortical factors must play an important role in sharpening orientation tuning of simple cells. We also examine the relationship of RF shape (subregion aspect ratio) and size (subregion length and width) to orientation-tuning halfwidth. As expected, predicted tuning halfwidths are found to depend strongly on both subregion length and subregion aspect ratio. However, we find that measured tuning halfwidths show only a weak correlation with subregion aspect ratio, and no significant correlation with RF length and width. These results suggest that cortical mechanisms not only serve to sharpen orientation tuning, but also serve to make orientation tuning less dependent on the size and shape of the RF. This ensures that orientation is represented equally well regardless of RF size and shape.

Functional connectivity between simple cells and complex cells in cat striate cortex

10.1038/1609 ◽  
1998 ◽  
Vol 1 (5) ◽  
pp. 395-403 ◽  
Author(s):  
Jose-Manuel Alonso ◽  
Luis M. Martinez
Keyword(s):  
Functional Connectivity ◽  
Striate Cortex ◽  
Simple Cells ◽  
Complex Cells ◽  
Cat Striate Cortex

Effect of electron beam on structural, linear and nonlinear properties of nanostructured Fluorine doped ZnO thin films

2017 ◽  
Vol 94 ◽  
pp. 190-195 ◽  
Author(s):  
Albin Antony ◽  
S. Pramodini ◽  
I.V. Kityk ◽  
M. Abd-Lefdil ◽  
A. Douayar ◽  
...  
Keyword(s):  
Thin Films ◽  
Electron Beam ◽  
Zno Thin Films ◽  
Nonlinear Properties ◽  
Linear And Nonlinear ◽  
Doped Zno

Directional selectivity and spatiotemporal structure of receptive fields of simple cells in cat striate cortex

1991 ◽  
Vol 66 (2) ◽  
pp. 505-529 ◽  
Author(s):  
R. C. Reid ◽  
R. E. Soodak ◽  
R. M. Shapley
Keyword(s):  
Time Course ◽  
Linear Prediction ◽  
Striate Cortex ◽  
Receptive Fields ◽  
Quantitative Measure ◽  
Direction Selectivity ◽  
Simple Cells ◽  
Preferred Direction ◽  
Orientation Contrast ◽  
Cat Striate Cortex

1. Simple cells in cat striate cortex were studied with a number of stimulation paradigms to explore the extent to which linear mechanisms determine direction selectivity. For each paradigm, our aim was to predict the selectivity for the direction of moving stimuli given only the responses to stationary stimuli. We have found that the prediction robustly determines the direction and magnitude of the preferred response but overestimates the nonpreferred response. 2. The main paradigm consisted of comparing the responses of simple cells to contrast reversal sinusoidal gratings with their responses to drifting gratings (of the same orientation, contrast, and spatial and temporal frequencies) in both directions of motion. Although it is known that simple cells display spatiotemporally inseparable responses to contrast reversal gratings, this spatiotemporal inseparability is demonstrated here to predict a certain amount of direction selectivity under the assumption that simple cells sum their inputs linearly. 3. The linear prediction of the directional index (DI), a quantitative measure of the degree of direction selectivity, was compared with the measured DI obtained from the responses to drifting gratings. The median value of the ratio of the two was 0.30, indicating that there is a significant nonlinear component to direction selectivity. 4. The absolute magnitudes of the responses to gratings moving in both directions of motion were compared with the linear predictions as well. Whereas the preferred direction response showed only a slight amount of facilitation compared with the linear prediction, there was a significant amount of nonlinear suppression in the nonpreferred direction. 5. Spatiotemporal inseparability was demonstrated also with stationary temporally modulated bars. The time course of response to these bars was different for different positions in the receptive field. The degree of spatiotemporal inseparability measured with sinusoidally modulated bars agreed quantitatively with that measured in experiments with stationary gratings. 6. A linear prediction of the responses to drifting luminance borders was compared with the actual responses. As with the grating experiments, the prediction was qualitatively accurate, giving the correct preferred direction but underestimating the magnitude of direction selectivity observed.(ABSTRACT TRUNCATED AT 400 WORDS)

Simple Cells of the Striate Cortex

1971 ◽  
pp. 1-46 ◽  
Author(s):  
G.H. Henry ◽  
P.O. Bishop
Keyword(s):  
Striate Cortex ◽  
Simple Cells

Direction selectivity of complex cells in a comparison with simple cells

1975 ◽  
Vol 38 (6) ◽  
pp. 1524-1540 ◽  
Author(s):  
A. W. Goodwin ◽  
G. H. Henry
Keyword(s):  
Spontaneous Activity ◽  
Visual Information ◽  
Striate Cortex ◽  
Cell Types ◽  
Direction Selectivity ◽  
Complex Cell ◽  
Simple Cells ◽  
Complex Cells ◽  
Sequential Processing

Following our earlier study on direction selectivity in simple cells (5), the present findings on complex cells made it possible to compare the direction selectivity in the two types of striate cell. Common properties were found in the dimension of the smallest stimulus displacement giving a direction-selective response and in the role of inhibition in suppressing the response as the stimulus moved in the nonpreferred direction. However, the effectiveness of this inhibition varied in the two cell types since it suppressed both driven and spontaneous activity in the simple cell, but only driven firing in the complex cell. It is argued that direction selectivity must enter the response before the complex cell if the inhibition responsible for it's generation fails to influence the spontaneous activity of the cell. The consequences of this finding are considered in the terms of parallel or sequential processing of visual information in striate cortex.

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