scholarly journals Asymmetrical response modulation between cell pair in cat striate cortex

2010 ◽  
Vol 2 (7) ◽  
pp. 104-104
Author(s):  
Z. Zhu ◽  
K. Lin ◽  
T. Kasamatsu
Keyword(s):  
Striate Cortex ◽  
Response Modulation ◽  
Cell Pair ◽  
Cat Striate Cortex

Favored patterns in spike trains. II. Application

1983 ◽  
Vol 49 (6) ◽  
pp. 1349-1363 ◽  
Author(s):  
J. E. Dayhoff ◽  
G. L. Gerstein
Keyword(s):  
Striate Cortex ◽  
Biological Significance ◽  
Companion Paper ◽  
Spike Trains ◽  
Area 17 ◽  
Stimulus Information ◽  
Experimental Conditions ◽  
Cat Striate Cortex ◽  
Template Methods ◽  
Anesthetized Cat

In this paper we apply the two methods described in the companion paper (4) to experimentally recorded spike trains from two preparations, the crayfish claw and the cat striate cortex. Neurons in the crayfish claw control system produced favored patterns in 23 of 30 spike trains under a variety of experimental conditions. Favored patterns generally consisted of 3-7 spikes and were found to be in excess by both quantized and template methods. Spike trains from area 17 of the lightly anesthetized cat showed favored patterns in 16 of 27 cases (in quantized form). Some patterns were also found to be favored in template form; these were not as abundant in the cat data as in the crayfish data. Most firing of the cat neurons occurred at times near stimulation, and the observed patterns may represent stimulus information. Favored patterns generally contained up to 7 spikes. No obvious correlations between identified neurons or experimental conditions and the generation of favored patterns were apparent from these data in either preparation. This work adds to the existing evidence that pattern codes are available for use by the nervous system. The potential biological significance of pattern codes is discussed.

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

Role of intracortical inhibition in orientation tuning dynamics in the cat striate cortex neurons

1995 ◽  
Vol 27 (2) ◽  
pp. 77-84 ◽  
Author(s):  
I. A. Shevelev ◽  
U. T. Eysel ◽  
N. A. Lazareva ◽  
G. A. Sharaev
Keyword(s):  
Striate Cortex ◽  
Intracortical Inhibition ◽  
Orientation Tuning ◽  
Cat Striate Cortex

Dynamics of orientation tuning in the cat striate cortex neurons

Neuroscience ◽  
1993 ◽  
Vol 56 (4) ◽  
pp. 865-876 ◽  
Author(s):  
I.A. Shevelev ◽  
G.A. Sharaev ◽  
N.A. Lazareva ◽  
R.V. Novikova ◽  
A.S. Tikhomirov
Keyword(s):  
Striate Cortex ◽  
Orientation Tuning ◽  
Cat Striate Cortex

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)

Receptive-field structure in cat striate cortex.

1981 ◽  
Vol 46 (2) ◽  
pp. 260-276 ◽  
Author(s):  
L A Palmer ◽  
T L Davis
Keyword(s):  
Receptive Field ◽  
Striate Cortex ◽  
Field Structure ◽  
Cat Striate Cortex

scholarly journals The velocity tuning of single units in cat striate cortex.

1975 ◽  
Vol 249 (3) ◽  
pp. 445-468 ◽  
Author(s):  
J A Movshon
Keyword(s):  
Striate Cortex ◽  
Single Units ◽  
Cat Striate Cortex

scholarly journals Patterns of synaptic input to layer 4 of cat striate cortex

1984 ◽  
Vol 4 (12) ◽  
pp. 3021-3033 ◽  
Author(s):  
BA McGuire ◽  
JP Hornung ◽  
CD Gilbert ◽  
TN Wiesel
Keyword(s):  
Synaptic Input ◽  
Striate Cortex ◽  
Layer 4 ◽  
Cat Striate Cortex

Spatial receptive-field properties of direction-selective neurons in cat striate cortex

1986 ◽  
Vol 55 (6) ◽  
pp. 1136-1152 ◽  
Author(s):  
C. L. Baker ◽  
M. S. Cynader
Keyword(s):  
Receptive Field ◽  
Striate Cortex ◽  
Weighting Function ◽  
Direction Selectivity ◽  
Field Size ◽  
Spatial Period ◽  
Sinusoidal Grating ◽  
Subunit Structure ◽  
Receptive Field Size ◽  
Cat Striate Cortex

Responses of direction-selective neurons in cat striate cortex (area 17) were studied with flashed-bar stimuli. Spatial parameters of interactions within the receptive field giving rise to direction selectivity and of receptive-field subunits were quantitatively determined for the same cells and correlated. A bar stimulus flashed sequentially at two nearby locations in the receptive field produced direction-selective behavior comparable with that elicited by continuously moving stimuli. Each cell exhibited a characteristic optimal spatial displacement, Dopt, for which responses in the presumed preferred and null directions were maximally distinct. In all cases, Dopt was much smaller than the receptive-field size. The spatial structure of receptive fields in simple cells was studied using single narrow-bar stimuli flashed at different locations in the receptive field. The resulting line-weighting function exhibited alternating regions of ON and OFF responses having a characteristic spatial period or wavelength, lambda. Spatial subunit structure in complex cells was determined by flashing two bars simultaneously in the receptive field. The response as a function of bar separation was again a wavelike function having a spatial wavelength, lambda. Values of the optimal displacement for direction selectivity, Dopt, showed a clear relationship with the spatial wavelength, lambda, for a given unit. Dopt was also correlated to a somewhat lesser degree with receptive-field size. Generally, the ratio of Dopt to lambda was approximately 1/10 to 1/4, in agreement with theoretical predictions by Marr and Poggio. Taken together with the findings of Movshon et al., these results indicate a systematic relationship between Dopt and the spatial frequency of a sinusoidal grating, which is optimal for that cell. Such a relationship is consistent with the results of human psychophysical experiments on apparent motion.

Receptive-field characteristics of neurons in cat striate cortex: Changes with visual field eccentricity

1976 ◽  
Vol 39 (3) ◽  
pp. 512-533 ◽  
Author(s):  
J. R. Wilson ◽  
S. M. Sherman
Keyword(s):  
Visual Field ◽  
Receptive Field ◽  
Striate Cortex ◽  
Ocular Dominance ◽  
Receptive Fields ◽  
Direction Selectivity ◽  
Orientation Selectivity ◽  
Simple Cells ◽  
Complex Cells ◽  
Cat Striate Cortex

1. Receptive-field properties of 214 neurons from cat striate cortex were studied with particular emphasis on: a) classification, b) field size, c) orientation selectivity, d) direction selectivity, e) speed selectivity, and f) ocular dominance. We studied receptive fields located throughtout the visual field, including the monocular segment, to determine how receptivefield properties changed with eccentricity in the visual field.2. We classified 98 cells as "simple," 80 as "complex," 21 as "hypercomplex," and 15 in other categories. The proportion of complex cells relative to simple cells increased monotonically with receptive-field eccenticity.3. Direction selectivity and preferred orientation did not measurably change with eccentricity. Through most of the binocular segment, this was also true for ocular dominance; however, at the edge of the binocular segment, there were more fields dominated by the contralateral eye.4. Cells had larger receptive fields, less orientation selectivity, and higher preferred speeds with increasing eccentricity. However, these changes were considerably more pronounced for complex than for simple cells.5. These data suggest that simple and complex cells analyze different aspects of a visual stimulus, and we provide a hypothesis which suggests that simple cells analyze input typically from one (or a few) geniculate neurons, while complex cells receive input from a larger region of geniculate neurons. On average, this region is invariant with eccentricity and, due to a changing magnification factor, complex fields increase in size with eccentricity much more than do simple cells. For complex cells, computations of this geniculate region transformed to cortical space provide a cortical extent equal to the spread of pyramidal cell basal dendrites.

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