Human Orientation Discrimination: Changes With Eccentricity in Normal and Amblyopic Vision
|
|
- Suzan Robertson
- 5 years ago
- Views:
Transcription
1 Human Orientation Discrimination: Changes With Eccentricity in Normal and Amblyopic Vision Erik Vandenbussche, Rufin Vogels, and Guy A. Orban The authors measured orientation discrimination of a single line as a function of eccentricity, line length, and standard orientation. Orientation discrimination improved with increasing line length at all eccentricities. The shortest length at which orientation discrimination was optimal increased with eccentricity. When a line length was used for which discrimination was optimal at all eccentricities, it was found that orientation discrimination performance changed little with increasing eccentricity. Under the same conditions, the oblique effect in orientation discrimination decreased with increasing eccentricity. Similar results were also obtained in both eyes of strabismic amblyopes. The difference between the just noticeable differences in orientation of the amblyopic and nonamblyopic eye decreased with increasing line length for central vision. This interocular difference also decreased with increasing eccentricity. The absence of the oblique effect in orientation discrimination at large eccentricities support the hypothesis that the area 17 S-cell orientation anisotropy underlies the oblique effect in orientation discrimination of long lines since this sensorial anisotropy is limited to the central visual field. Invest Ophthalmol Vis Sci 27: , 1986 Human line orientation discrimination shows meridional variations: just noticeable differences (JNDs) in orientation are smaller when measured at horizontal or vertical standard orientations than at oblique standard orientations.' This type of oblique effect is extremely robust 2 and has been linked to the anisotropy in preferred orientation of a particular class of area 17 cells: the S-cells. These S-cells have narrow receptive fields with almost completely nonoverlapping ON and OFF subregions and show considerable length summation. 3 Both in cat and monkey, this class of cells has the narrowest orientation tuning and is the only class to have a meridional anisotropy in preferred orientation. 3 " 5 In order to gain further support for this analogy type 6 of linking hypothesis, we have derived predictions from the physiological properties of S-cells for line orientation discrimination. In humans 1 as well as in cats, 7 meridional variations in line orientation discrimination are larger for long than for short lines, as predicted from the length summation of S-cells. The present report deals with another prediction derived from the properties of S-cells. In cat as well as in monkey, the bias in preferred orientation of S-cells towards horizontal and vertical orientations vanishes with increasing eccentricity. 3 ' 48 " The first aim of the pres- From the Laboratorium voor Neuro-en Psychofysiologie, KU- Leuven, Campus Gasthuisberg, Belgium. Submitted for publication: April 16, Reprint requests: G. A. Orban, MD, PhD, Laboratorium voor Neuro-en Psychofysiologie, KULeuven, Campus Gasthuisberg, B Leuven, Belgium. ent experiments was to test the prediction that the oblique effect in orientation discrimination in humans decreases with increasing eccentricity. The second aim of this study was to compare the steepness of changes in JNDs in orientation and in acuity with increasing eccentricity. A large difference in the dependence of orientation discrimination and of acuity on distance from the fixation point would give further support to our view that different neuronal mechanisms underlie acuity and contrast sensitivity on one hand and orientation discrimination on the other.'' The third aim of the present study was to compare the changes in orientation discrimination with eccentricity in normal and amblyopic subjects. In a previous study 2 we showed that orientation discrimination of long lines is little affected in amblyopia. Only orientation discrimination around the principal orientations is significantly affected in the amblyopic eye. In that study, eye position was not precisely controlled and, although unlikely, eccentric fixation could have accounted for the results. The present experiments allow us to rule out this explanation. They rather show that, at least qualitatively, central vision of strabismic amblyopes is similar to the peripheral visual system of normal subjects. Stimuli and Apparatus Materials and Methods A single 0.25 wide light bar was backprojected on a circular screen positioned at 114 cm from the ob- 207
2 238 INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE'/ February 1986 Vol. 27 Table 1. Ophthalmological data of the amblyopic subjects Refraction Snellen acuity Strabism Fixation Subject C.G. Nonamblyopic eye Amblyopic eye +0.5D +2D / 3/ esotropic* foveal, stable foveal, stable Subject I.G. Nonamblyopic eye Amblyopic eye +3D +3D 90 +6D +3.25D 90 12/ 2/ exotropic* foveal, stable parafoveal, unstable * Chirurgically corrected. server. The luminance of the bar was 0.14 cd/m 2 while the background luminance equalled cd/m 2 (contrast log AI/I = 1.35). Due to this extremely low background luminance, no visual reference could influence the discrimination of the subjects. The orientation of the light bar was changed by turning a dove prism with a stepping motor. Exposure time and intertrial interval were 600 and 5000 msec respectively. A light spot was used as fixation point. When testing most normal subjects, the fixation spot was turned off during stimulus presentation. For one normal subject and the amblyopic subjects, the fixation spot was only turned off for 0- and 5-deg eccentricity. Stimulus presentation, recording of the responses (depressing keys), and auditory feedback (correct or incorrect) were controlled by a microprocessor (Rockwell, AIM 65). Subjects The eight subjects of this study ranged in age from 20 to 25 yr. Four of the normal subjects were emmetropes; two were corrected myopes. The ophthalmological data of the two strabismic amblyopes are given in Table 1. The refraction errors were corrected during the discrimination tests. Informed consent was obtained from the subjects. All subjects were well trained before the final data collection. All subjects were tested monocularly: in normals only the right eye was tested; in the amblyopes both eyes were tested. Procedure Two psychophysical procedures were used. Both involved the sequential presentation of a single line. Simultaneous presentation of the two lines to be discriminated in orientation was avoided because of possible configurational interactions. Studies in our laboratory 12 have shown that decision process factors and, in particular, memory noise are isotropic in these orientation discrimination tasks. In most subjects with normal vision we used a method of single stimuli with five stimulus and two response alternatives described previously. 1 ' 2 The five equally spaced orientations spanned an interval symmetrical around the standard orientation. The subject had to judge the line as tilted anticlockwise or clockwise from the standard orientation. After probit analysis, the standard deviation was taken as the JND (84% correct level) in orientation. In one normal subject (C.C.) and in both amblyopes, a transformed up-down staircase procedure 13 was run using a temporal two-alternative, forced choice design. The subject had to discriminate between the sequences, standard orientation-orientation tilted As deg clockwise from standard, and the sequence, orientation tilted As deg clockwise from standard orientation-standard orientation. The orientation difference As between the two stimulus presentations of a trial was decreased by 20% after 4 successive correct responses and increased by the same factor after one incorrect response. The geometric mean of the orientation differences of the last 5 midrun estimates 14 in a staircase of 20 runs was used to compute a 84% correct JND in orientation. The data were subjected to an analysis of variance with subjects treated as blocks. 15 These analyses of variances were performed on log transformed JNDs. The error term derived from the analysis of variance was used to test differences between means with a priori t-tests. 15 Results Experiment 1. Normal Vision: Homogeneity of the Visual Field with Respect to Orientation Discrimination In a preliminary experiment, we measured the JNDs in orientation along the horizontal and vertical retinal meridians at 30 from the fixation point. The line length was 15 and two different widths were used: 0.25 and All measurements were made for three standard orientations (vertical, horizontal, and right oblique) in one subject (Fig. 1). Comparison of the JNDs obtained with the 2 slit widths shows that the level of performance was fairly similar in both instances: JNDs hovered around 2 for the different retinal loci and standard orientations for the 0.25 width as well as for the 1.75 width. And indeed an analysis of variance with standard orientation, retinal locus, and slit width as factors revealed no significant effect of slit
3 No. 2 PERIPHERAL ORIENTATION DISCRIMINATION / Vandenbussche er al. 239 width nor an interaction between slit width and standard orientation. The analysis of variance also revealed no interaction between standard orientation and retinal locus as has been described for grating acuity. 16 A more careful inspection of the data reveals that for the 1.75 width there is an effect of retinal locus on the JNDs for different standard orientations. In this case the JND for the standard orientation parallel to the meridian on which the slit center was positioned was the smallest. Indeed, for the upper and lower retinal field position (ie, on the vertical meridian), the JNDs for vertical were lower than those for horizontal. The converse was true for the temporal and nasal fields (ie, along the horizontal meridian). The slit width used in our previous experiments 1 ' 2 was Since performance for a peripherally presented slit did not improve with increase in slit width and since the visualfieldwas more homogeneous for the small slit width, all further experiments were performed with a 0.25 wide slit positioned along the horizontal meridian of the temporal retina. Experiment 2. Normal Vision: Changes in Orientation Discrimination with Line Length For central vision, orientation discrimination depends on line length, and longer lines are needed to reach optimal orientation sensitivity at larger eccentricities. 19 Therefore, we investigated the influence of line length on orientation discrimination. In 2 subjects, we measured JNDs in orientation for 8 different line lengths ranging between 0.5 and 15 at 0, 15 and 30 eccentricity for different standard orientations: horizontal, vertical, and right oblique in subject B.G. and vertical and left oblique in subject B.D.B. The results of subject B.G. for two eccentricites are shown in Figure 2A and B. For central vision (Fig. 2A), the JNDs in orientation for right oblique decreased between 0.5- and 4-deg length by a factor 1.5 or 2. The JNDs in orientation for the principal orientation decreased between 0.5 and 4 length by a factor 4 or 5. Hence, the oblique effect in orientation discrimination increased with line length. Comparing the mean JNDs of both subjects for principal and oblique orientations yields 1.06 and 2.24 respectively for a line length of 15 and 6.44 and 4.58 for a line length of 0.5. This confirms our previous observations. 1 At an eccentricity of 30, subject B.G. could not discriminate orientation for lines shorter than 4. Between 4 and 8 length, the JNDs in orientation dropped steeply for all 3 standard orientations and remained constant for lines longer than 8 (Fig. 2B). It is noteworthy that at this eccentricity the JND in orientation-line length relationships were identical for all three standard orientations. SUBJECT :B.G. 30 eccentricity width 0.25 width 1.75 Fig. 1. JND in orientation as a function of position in the visual field at 30 eccentricity (subject B.G.). The magnitude of the JND in orientation is indicated by the distance between the datapoint and the center of the circles. JNDs in orientation at the horizontal, vertical, and right oblique standard orientation are indicated by open circles, filled triangles, and filled circles respectively. The position of the datapoints corresponds to the position in the visual field of the right eye (eg left corresponds to nasal). The data for the two stimulus widths are indicated separately. Since we were primarily interested in the changes of the JNDs in orientation-line length relationship with eccentricity, we pooled the thresholds across subjects and standard orientations. Figure 2C shows the resulting mean JNDs plotted as a function of line length
4 240 INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE / February 1986 Vol C "o c 2 Q 1 : 05 SUBJECT : B.G. 0 eccentricity line length (degrees) 0.5 B SUBJECT: B.G. 30 eccentricity K U 8 16 line length (degrees) X. Fig. 2. The influence of line length on orientation discrimination measured at o.5l 20 N=2 different eccentricities. A-B, JNDs in orientation of subject B.G. for 3 different standard orientations at 0 (A) and 30 (B) eccentricity. Same conventions as in Figure 1. C, Mean JNDs in ori- \ "*"* entation as a function of line 0 o"v length measured at three different eccentricities: 0 (full lines), 15 (stippled lines), and 30 (dotted lines). The lines were fitted to the dataos i 2 t 8 16 points with linear regression. line length (degrees) The JNDs f or a u standard orientations of two subjects were pooled. on a log-log scale. Three aspects of the JND in orientation-line length relationship change with eccentricity. First, the optimal line length (inflexion point of the curve) increases with increasing eccentricity. The increase, however, is modest compared to the change in minimal angle of resolution. Compared to 0 eccentricity, the optimal lengths at 15 and 30 eccentricity are a factor 1.6 and 2.2 larger. This contrast with minimum angle of resolution for which these factors are 20 and 25 respectively. Second, the length summation becomes steeper with increasing eccentricity. The exponent of the negative power law describing the relationship for suboptimal lengths increases from 0.54 at 0 to 1.09 and 1.64 at 15 and 30 eccentricity respectively. Hence orientation discrimination improves more rapidly with line length in the peripheral visual field than in central vision. Finally, the optimal level of performance reached at large line lengths is only a factor 2 larger at 30 eccentricity compared to 0 eccentricity. Hence, the change in orientation discrimination with eccentricity is much smaller than the decrease in acuity with eccentricity. Experiment 3. Normal Vision: The Influence of Eccentricity on Orientation Discrimination at Four Standard Orientations We measured JNDs in orientation at eccentricities ranging from 0 to 30 and 4 standard orientations (vertical, horizontal, left and right oblique) in 3 subjects. For each subject we used the line length as short as optimal at 30 eccentricity, eg, 8 for subject B.G. (see Fig. 2B). Figure 3A shows the results for this subject. The orientation discrimination at oblique standard orientations did not change at all with eccentricity. The JNDs in orientation at principal orientations did not change up to from the fixation point, increased steeply between and 15 eccentricity and then remained at a level close to that of JNDs for oblique standard orientations. As a consequence, the oblique effect in orientation discrimination vanished in this subject between 12 and 15 eccentricity. In the two other subjects it vanished between 15 and 20 (subject R.V.) and between 20 and 30 (subject C.C.). The results pooled across subjects are shown in Figure 3B. Again the oblique JNDs are hardly affected by eccentricity, while principal JNDs increase more or less abruptly at 15 eccentricity. For eccentricites over 20, there was no difference between JNDs for oblique and principal orientation. The analysis of variance (eccentricity and standard orientation as factors) confirmed that the interaction between eccentricity and standard orientation was significant (F(15, 46) = 2.96; P < 0.05). It is noteworthy that in the pooled results the changes in JND for the vertical standard orientation are slightly larger than for the horizontal standard orientation. Three additional subjects were tested at three eccentricities: 0, 15, and 30 and two standard orientations (vertical and left oblique). Pooling those results with those of the three subjects tested at all four standard orientations confirms the previous results (Fig. 3C). At 0 eccentricity, the oblique JNDs were on average a factor 2.3 larger than the vertical JNDs. At 30 eccentricity, this difference had completely disappeared. Analysis of variance of the results again confirmed that the interaction between standard orientation and eccentricity was significant (F(2, 25) = 3.9, P < 0.05). Experiment 4. Amblyopic Vision: Effect of Line Length on Orientation Discrimination at Different Eccentricities We measured the influence of line length on orientation discrimination in both eyes of the two strabismic amblyopic subjects at two eccentricities (0 and 20
5 No. 2 PERIPHERAL ORIENTATION DISCRIMINATION / Vandenbussche er ol. 241 deg) and at two standard orientations (vertical and right oblique). Figure 4A shows the results pooled across subjects and standard orientations. The results show the same trend as those of normal subjects (compare with Fig. 2C). At both eccentricities, for the nonamblyopic as well as for the amblyopic eye, orientation discrimination improves with line length and reaches a stable level over a given optimal length. As in normals, this optimal length increases with eccentricity, in the nonamblyopic eye as well as in the amblyopic eye. The main difference between the amblyopic and nonamblyopic eyes concerns the level of performance for short lines. At 0 eccentricity, the JNDs in orientation are higher for the amblyopic eye than for the 20 3_ 0.5 B 8 15 SUBJECT : B.G B 0.7l OL A 8 line length (degrees) Fig. 4. The effect on line length on orientation discrimination in amblyopic subjects. A, The mean (two subjects) JND in orientation as a function of line length; filled symbols: 0 eccentricity, open symbols: 20 eccentricity, circles: nonamblyopic eye, triangles: amblyopic eye. One subject could not discriminate the orientation of the 2 long line at 20 eccentricity with her amblyopic eye. The corresponding datapoint will be larger than (indicated by arrow). B, The interocular ratio as a function of line length for the principal (filled squares) and the oblique (open squares) standard orientations calculated for the 0 eccentricity data L eccentricity (degrees) Fig. 3. The effect of eccentricity on orientation discrimination of long lines for different standard orientations. A, JNDs in orientation of subject B.G. as a function of eccentricity for the horizontal (open circles), vertical (triangles), left oblique (crosses), and right oblique (filled circles) standard orientation. B, Mean (three subjects) JNDs in orientation as a function of eccentricity and standard orientation. Same conventions as in A. C, Mean (three subjects) JNDs in orientation as a function of eccentricity for a vertical (triangles) and left oblique (crosses) standard orientations. Standard errors are indicated by vertical bars. nonamblyopic for lines shorter than 4. The same is true, to a lesser degree, at 20 eccentricity. The ratio of JNDs in amblyopic and nonamblyopic eyes at 0 eccentricity averaged for the 2 subjects is plotted as a function of line length for the principal and oblique standard orientation in Figure 4B. This shows that the deficit in the amblyopic eye for short lines affects both the oblique and principal standard orientations, contrary to the deficit at long line lengths which affects only the principal standard orientations (see below). Experiment 5. Amblyopic Vision: Influence of Eccentricity on Orientation Discrimination at Four Standard Orientations We measured JNDs in orientation at different eccentricities ranging from 0 to 30 and 4 standard ori-
6 242 INVESTIGATIVE OPHTHALMOLOGY b VISUAL SCIENCE / February 1986 Vol NONAMBLYOPIC EYE AMBLYOPIC EYE eyes confirms our previous observation that for long lines, only JNDs at principal orientations are affected in the amblyopic eye. The ratio of JNDs in the amblyopic eye and in the nonamblyopic eye averaged over the two subjects is plotted as a function of eccentricity for principal and oblique standard orientations (Fig. 5C). When tested with long lines, the deficit in orientation discrimination of the amblyopic eye is limited to the principal standard orientation and to small eccentricities (below 20 deg). For central vision (0 eccentricity) the difference between JNDs in both eyes is significant for principal standard orientations (t(47) = 1.82, P < 0.05) but not for oblique standard orientations (t(47) = 0.36, n.s.). At 30 eccentricity, the differences in JNDs between both eyes are significant neither for the principal (t(47) = -0.36, n.s.) nor for the oblique standard orientations (t(47) = 0.53, n.s.). Discussion S 2 0.5L eccentricity (degrees) Fig. 5, A-B, JNDs in orientation of long lines as a function of eccentricity in the nonamblyopic (5A) and amblyopic (5B) eye. The conventions are the same as in Figure 3. C, The interocular ratio as a function of eccentricity for the principal (filled squares) and oblique (open squares) standard orientations. entations in both eyes of the two same strabismic amblyopes. As in normals, we used for each subject the line length as short as optimal at 30 eccentricity. The results pooled across subjects are shown in Figure 5A for the nonamblyopic eye and in Figure 5B for the amblyopic eye. For both eyes the results are qualitatively similar to those of normals (see Fig. 3B). The JNDs for oblique standard orientations hardly change with eccentricity, while those for the principal standard orientations rise steeply around 20 eccentricity. At 30 eccentricity, the difference (averaged over the 2 eyes) in JNDs in orientation between oblique and principal standard orientations has vanished: t(47) = 1.51, n.s. Two further observations are worth noting. First, in both eyes the JNDs for the vertical standard orientation change more steeply with eccentricity than the JNDs for the horizontal standard orientation. Second, the increase in JNDs for principal orientations occurs in both eyes at the same eccentricity. This implies that the difference between both eyes is not due to eccentric fixation. Comparison of the results in both The two main results of the present study are (1) orientation discrimination changes little with increasing eccentricity, and (2) the oblique effect in orientation discrimination is limited to small eccentricities below deg. For normal subjects as well as for both eyes of strabismic amblyopes, JNDs in orientation for oblique standard orientations hardly change with eccentricity, while the JNDs for principal standard orientations steeply rise at deg eccentricity to the level of the oblique JNDs. Our finding that orientation discrimination for optimal line length changes little with eccentricity is in good agreement with those of Andriessen and Bouma 20 and Scobey. 19 These authors showed that, provided line length was optimized, orientation discrimination at a vertical standard orientation did not change between 0 and eccentricity. Although our findings are qualitatively similar, the optimal lengths for central vision found in the present study (over 4 ) are much larger than those of Andriessen and Bouma (70 minarc) and of Scobey (21 minarc). There are, however, a number of differences in the stimuli used: (1) our stimuli as well as the background had a much lower luminance, and (2) our stimuli were less sharp and wider than those used in the other studies. We performed a control experiment to investigate the influence of the sharpness and width of lines. It could be that with a sharp line subjects use the orientation of the edge of the line rather than that of the body of the line and the line length dependence for both cues could be different. Furthermore, when the orientation of the body of the line is used (unsharp stimulus), linear theory (2-D Fourier) predicts a dependence of orientation bandwidth on the length/width ratio. 21 Therefore, we measured in one subject the JND
7 No. 2 PERIPHERAL ORIENTATION DISCRIMINATION / Vondenbussche er ol. 243 in orientation-line length relationship for different line widths and different degrees of blur. Only the vertical standard orientation and central vision were tested. With a sharp stimulus, one can use the orientation of edges; this is demonstrated by the fact that one can judge the orientation of a square. For each line width, we looked for the minimum blur required to prevent subjects from judging the orientation of a square of the same dimension. For a 0.1 wide line, a 1-D blur was enough; for a 0.25 wide line, 2 diopters were required. Figure 6 shows the JND in orientation line length relationship for three widths (0.1, 0.25, and 2 ) and blurring with a 1-D lens (Fig. 6A) and a 2-D lens (Fig. 6B). There is no difference in those relationships whether edge information is present or not (compare 0.1 and 0.25 width with 1-D blur or 0.25 and 2 widths with 2-D blur). Nor is there any dependence of the relationship on width when edge information is removed (compare 0.1 and 0.25 widths with 2-D blur). Hence, it is very likely that the longer optimal lengths observed in this study are due to the lower luminances of the line and particularly of the background. The improvement of JNDs in orientation with line length up to optimal length indicates that the orientation sensitive mechanisms improve their operation with increasing line length. Indeed, physiological studies have shown that orientation tuning of cortical cells becomes sharper with increasing slit length both in endfree cells 22 and in endstopped cells. 23 The implication of the present results is that this sharpening of orientation tuning occurs for shorter lengths in photopic vision than in scotopic vision. Bisti et al 24 have shown that the width of orientation tuning does not depend on background luminance, but unfortunately these authors only used long slits. The increase of orientation tuning width of oriented mechanisms with decreasing line length is likely to depend on the spatial grain of the sampling grid. Although no physiological evidence is available since the above mentioned reports only dealt with central vision, this increase will be larger for a coarser grain. 18 This could explain the severe effects of eccentricity, amblyopia, and blur on the orientation discrimination of short lines. Our observation that orientation discrimination changes little with eccentricity is in marked contrast with the steep changes in acuity with eccentricity. This adds further evidence to our view that, despite the fact that both tasks show oblique effects, contrast sensitivity and orientation discrimination depend on different neuronal mechanisms." While grating acuity and contrast sensitivity depend heavily on eccentricity, blurring, and amblyopia, orientation discrimination for long lines depends little on these variables. Moreover, stimulus-length hardly affects grating acuity, while ori- s V SUBJECT : K.C A line length (degrees) Fig. 6. The effect of line length on orientation discrimination of lines of different width and with different amount of blur. A, -MD blur. B, +2D blur. Triangles: 0.1 width, squares: 0.25 width; crosses: 2 width. entation discrimination depends strongly on line length. Finally, selective practice abolishes the oblique effect in contrast sensitivity but not in orientation discrimination. 25 While acuity and orientation discrimination of long lines depend on different neuronal mechanisms, both show an oblique effect limited to small eccentricities in the visual field. Comparison of the present results with those of Berkley et al 26 suggests that the oblique effect in grating acuity fades at smaller eccentricities than that in orientation discrimination. The modest changes in orientation discrimination with eccentricity involve both the level of performance (JNDs) and the optimal length. Our observation that JNDs in orientation at principal standard orientations are more affected by eccentricity than JNDs in orientation at oblique standard orientations fits with our earlier observations that principal JNDs are more affected by blurring and in amblyopia. It seems that within orientation discrimination, discrimination at a principal orientation is more susceptible to deterioration of the spatial grain of the visual system. Our observation that optimal length for orientation discrimination changes less steeply with eccentricity than minimal angle in resolution is not surprising in the view that the former probably corresponds to the min- 15
8 244 INVESTIGATIVE OPHTHALMOLOGY b VISUAL SCIENCE / February 1986 Vol. 27 imal length, producing a sharp orientation tuning of cortical cells. It is likely that this length does change more gradually than cortical magnification or even retinal density. Our observation that the oblique effect in orientation discrimination of long lines fades with increasing eccentricity bears out the prediction derived from our hypothesis that the S-cell anisotropy underlies the oblique effect in orientation discrimination. Recently our results on the effect of selective practice on line orientation discrimination have led to the recognition of two sensorial sources of the oblique effect: one due to S-cells in area 17 and one due to the further processing of S-cell signals. The fact that the predictions derived from S-cell properties are borne out so well suggests that the latter step is relatively close to the S- cells and perhaps resides in the combination of the S- cell output. We have suggested that the level of performance in orientation discrimination depends on the square root of the number of S-cells activated by the line. 1 Orientation discrimination performance changes by a factor 2 between 0 and 30 eccentricity (Fig. 2C); this then implies that the number of S-cells is reduced by a factor 4 between 0 and 30 eccentricity. This could be achieved, despite the large changes in cortical magnification (by a factor 30 or so 27 ) if the S-cells represent a larger proportion of VI cortical cells at 30 eccentricity than at 0 eccentricity. And indeed, the proportion of oriented cells (and hence of S-cells) increases with eccentricity in monkey V1, 28 as does the proportion of endfree cells (and hence of S-cells) in VI of the cat. 4 It has been suggested that in peripheral vision, cortical cells and especially S-cells prefer orientations parallel to the line linking the RF center to the fovea. 9 One would therefore expect orientation discrimination to be better for the standard orientations parallel to retinal meridians on which the line center was positioned than for the orthogonal standard orientations. Such a tendency was present for wide lines (see Fig. 1), but much weaker for narrow widths, although Figure 3 and Figure 5 suggest that a small tendency in this direction was also present in our JNDs measured with narrow lines. Our present observations on amblyopic subjects confirm our earlier observation 2 that only JNDs in orientation at principal orientations are affected in amblyopia. The present results extend this observation and show (1) that the deficit is limited to central and near peripheral vision, and (2) that it is not due to eccentric fixation. The present study reveals a second deficit in orientation discrimination of amblyopes: the orientation discrimination of short lines is strongly impaired at all standard orientations. Our results also give further support to the frequently held view that, at least in strabismic amblyopes, central vision of amblyopes is similar to peripheral vision in normals. 29 " 32 In fact; the orientation discrimination of our two amblyopic subjects for central vision corresponds to the performance of our normal subjects at an eccentricity of to 15. If this was to be verified further, this would imply that the magnification factor-eccentricity relationship for the afferents of the two eyes would be different, the one for the afferents from the amblyopic eye being flatter than that for the normal eye afferents. Key words: orientation discrimination, oblique effect, eccentricity, amblyopia Acknowledgments The technical assistance of P. Kayenbergh, G. Vanparrijs, and J. Warmoeskerken as well as the computerized typing of Y. Celis are gratefully acknowledged. The refraction and acuity measurements were done by M. Van Lammeren, from the Department of Ophthalmology, KUL Medical School. References 1. Orban GA, Vandenbussche E, and Vogels R: Human orientation discrimination tested with long stimuli. Vision Res 24:121, Vogels R, Orban GA, and Vandenbussche E: Meridional variations in orientation discrimination in normal and amblyopic vision. Invest Ophthalmol Vis Sci 25:720, Orban GA and Kennedy H: The influence of eccentricity on receptive field types and orientation selectivity in areas 17 and 18 of the cat. Brain Res 208:203, Orban GA: Neuronal Operations in the Visual Cortex. Berlin, Springer Verlag, 1984, 367 p. 5. Kennedy H, Martin KAC, Orban GA, and Whitteridge D: Receptive field properties of neurones in visual area V1 and visual area V2 in the baboon. Neuroscience 14:405, Teller DY: Linking propositions. Vision Res 24:1233, Vandenbussche E, Orban GA, and Maes H: Influence of line length on the orientation discrimination performance of the cat. Arch Int Physiol Biochim 91:P25, Payne BR and Berman N: Functional organization of neurons in cat striate cortex: variations in preferred orientation and orientation selectivity with receptive field type, ocular dominance, and location in visual field map. J Neurophysiol 49:51, Leventhal AG: Relationship between preferred orientation and receptive field position of neurons in cat striate cortex. J Comp Neurol 220:476, De Valois RL, Yund EW, and Hepler N: The orientation and direction selectivity of cells in macaque visual cortex. Vision Res 22:531, Orban GA, Vandenbussche E, and Vogels R: Meridional variations and other properties suggesting that acuity and orientation discrimination rely on different neuronal mechanisms. Ophthalmic Physiol Opt 4:89, Vogels R and Orban GA: Visuele orientatiediscriminatie: een psychofysische studie bij de mens. Unpublished PhD thesis, 1985, 226 p. 13. Wetherill GB and Levitt H: Sequential estimation of points on a psychometric function. Br J Math Stat Psychol 18:1, Levitt H: Transformed Up-Down methods in psychoacoustics. J Acoust Soc Am 49:467, 1971.
9 No. 2 PERIPHERAL ORIENTATION DISCRIMINATION / Vondenbussche er ol Kirk R: Experimental Design Procedures for the Behavioural Sciences. Belmont, CA, Brooks Cole Publishing Company, Rovamo J, Virsu V, Laurinen P, and Hyvarinen L: Resolution of gratings oriented along and across meridians in peripheral vision. Invest Ophthalmol Vis Sci 23:666, Andrews DP: Perception of contour orientation in the central fovea. Part 1: short lines. Vision Res 7:975, Watt RJ: Towards a general theory of the visual acuities for shape and spatial arrangement. Vision Res 24:1377, Scobey RP: Human visual orientation. J Neurophysiol 48:18, Andriessen JJ and Bouma H: Just noticeable differences in slant of test lines as a function of retinal eccentricity. IPO Annual Progress Report 5, Daugman JG: Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J Opt Soc Am A 2:1160, Henry GH, Dreher B, and Bishop PO: Orientation specificity of cells in striate cortex. J Neurophysiol 37:1394, Orban GA, Kato H, and Bishop PO: End-zone region in receptive fields of hypercomplex and other striate neurons in the cat. J Neurophysiol 42:818, Bisti S, Clement R, Maffei L, and Mecacci L: Spatial frequency and orientation tuning curves of visual neurones in the cat: effects of mean luminance. Exp Brain Res 27:335, Vogels R and Orban GA: The effect of practice on the oblique effect in line orientation judgments. Vision Res, in press, Berkley MA, Kitterle F, and Watkins DW: Grating visibility as a function of orientation and retinal eccentricity. Vision Res 15: 239, Van Essen DC, Newsome WT, and Maunsell JHR: The visual field representation in striate cortex of the macaque monkey: asymmetries, anisotropies, and individual variability. Vision Res 24:429, Zeki S: The distribution of wavelength and orientation selective cells in different areas of monkey striate cortex. Proc R Soc Lond B 217:449, Levi DM, Harwerth RS, Pass AF, and Venverloh J: Edge sensitive mechanisms in humans with abnormal visual experience. Exp Brain Res 43:270, Levi DM, Klein SA, and Aitsebaomo P: Direction and discrimination of the direction of motion in central and peripheral vision of normal and amblyopic observers. Vision Res 24:789, Loshin DS and Levi DM: Suprathreshold contrast perception in functional amblyopia. Doc Ophthalmol 55:213, Braddick O: Unscrambling amblyopia. Nature 298:224, 1982.
Deviations from strict M scaling
ol. 9, No. 8/August 199/J. Opt. Soc. Am. A 133 Deviations from strict M scaling P. Bijl* J. J. Koenderink, and A. M.. Kappers Buys Ballot aboratory, Utrecht Biophysics Research nstitute, University of
More informationBASIC VISUAL SCIENCE CORE
BASIC VISUAL SCIENCE CORE Absolute and Increment Thresholds Ronald S. Harwerth Fall, 2016 1. Psychophysics of Vision 2. Light and Dark Adaptation Michael Kalloniatis and Charles Luu 1 The Neuron Doctrine
More informationAuto-correlation of retinal ganglion cell mosaics shows hexagonal structure
Supplementary Discussion Auto-correlation of retinal ganglion cell mosaics shows hexagonal structure Wässle and colleagues first observed that the local structure of cell mosaics was approximately hexagonal
More informationSupplementary Figure 1. Characterization of the single-photon quantum light source based on spontaneous parametric down-conversion (SPDC).
.2 Classical light source.8 g (2) ().6.4.2 EMCCD SPAD 2 3.2.4.6.8..2.4.6.8.2 Mean number of photon pairs per pump pulse 4 5 6 7 8 9 2 3 4 Supplementary Figure. Characterization of the single-photon quantum
More informationThe functional organization of the visual cortex in primates
The functional organization of the visual cortex in primates Dominated by LGN M-cell input Drosal stream for motion perception & spatial localization V5 LIP/7a V2 V4 IT Ventral stream for object recognition
More informationSpatial pattern summation is phase-insensitive in the fovea but not in the periphery
Spatial pattern summation is phase-insensitive in the fovea but not in the periphery CHIEN-CHUNG CHEN * and CHRISTOPHER W. TYLER Smith-Kettlewell Eye Research Institute, 2318 Fillmore Street, San Francisco,
More informationSIGNAL DETECTION BY HUMAN OBSERVERS" Prof. J. A. Swets P. D. Donahue Louise Iarussi
XIV. SIGNAL DETECTION BY HUMAN OBSERVERS" Prof. J. A. Swets P. D. Donahue Louise Iarussi Prof. D. M. Green Susan A. Sewall A. COLOR VISION The "law of additivity of luminances" has long been regarded as
More informationIs the Human Visual System Invariant to Translation and Scale?
The AAAI 207 Spring Symposium on Science of Intelligence: Computational Principles of Natural and Artificial Intelligence Technical Report SS-7-07 Is the Human Visual System Invariant to Translation and
More informationPeripheral contrast sensitivity for sine-wave gratings and single periods
Peripheral contrast sensitivity for sine-wave gratings and single periods Citation for published version (APA): Kroon, J. N., Rijsdijk, J. P., & Wildt, van der, G. J. (1980). Peripheral contrast sensitivity
More informationAdaptation to a 'spatial-frequency doubled' stimulus
Perception, 1980, volume 9, pages 523-528 Adaptation to a 'spatial-frequency doubled' stimulus Peter Thompson^!, Brian J Murphy Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
More informationCLINICAL VISUAL OPTICS (OPTO 223) Weeks XII & XIII Dr Salwa Alsaleh
CLINICAL VISUAL OPTICS (OPTO 223) Weeks XII & XIII Dr Salwa Alsaleh OUTLINE OF WEEKS XII & XIII Temporal resolution Temporal Summation. Broca-Sulzer effect. Critical flicker frequency (CFF). Temporal Contrast
More informationUnmasking the mechanisms for Vernier acuity: evidence for a template model for Vernier acuity
Vision Research 40 (2000) 951 972 www.elsevier.com/locate/visres Unmasking the mechanisms for Vernier acuity: evidence for a template model for Vernier acuity Dennis M. Levi a, *, Stanley A. Klein b, Thom
More informationACUITY AND THE CONE CELL DISTRIBUTION
Brit. J. Ophthal. (1953) 37, 538. VISUALI ACUITY AND THE CONE CELL DISTRIBUTION OF THE RETINA* BY E. R. HARRISON Harwell, Didcot, Berks. BoTH Polyak (1941) and Ludvigh (1941) have discussed the acuity
More informationSurround effects on the shape of the temporal contrast-sensitivity function
B. Spehar and Q. Zaidi Vol. 14, No. 9/September 1997/J. Opt. Soc. Am. A 2517 Surround effects on the shape of the temporal contrast-sensitivity function Branka Spehar School of Psychology, University of
More informationÂngelo Cardoso 27 May, Symbolic and Sub-Symbolic Learning Course Instituto Superior Técnico
BIOLOGICALLY INSPIRED COMPUTER MODELS FOR VISUAL RECOGNITION Ângelo Cardoso 27 May, 2010 Symbolic and Sub-Symbolic Learning Course Instituto Superior Técnico Index Human Vision Retinal Ganglion Cells Simple
More informationRELATIONSHIP BETWEEN STATIC AND DYNAMIC STEREO ACUITY 1
Journal of Experimental Psychology 1968, Vol. 76, No. 1, 51-56 RELATIONSHIP BETWEEN STATIC AND DYNAMIC STEREO ACUITY 1 S. M. LURIA AND SEYMOUR WEISSMAN 2 Naval Submarine Medical Center, Naval Submarine
More informationBrightness induction: Unequal spatial integration with increments and decrements
Visual Neuroscience (2004), 21, 353 357. Printed in the USA. Copyright 2004 Cambridge University Press 0952-5238004 $16.00 DOI: 10.10170S0952523804213037 Brightness induction: Unequal spatial integration
More informationNonlinear reverse-correlation with synthesized naturalistic noise
Cognitive Science Online, Vol1, pp1 7, 2003 http://cogsci-onlineucsdedu Nonlinear reverse-correlation with synthesized naturalistic noise Hsin-Hao Yu Department of Cognitive Science University of California
More information!) + log(t) # n i. The last two terms on the right hand side (RHS) are clearly independent of θ and can be
Supplementary Materials General case: computing log likelihood We first describe the general case of computing the log likelihood of a sensory parameter θ that is encoded by the activity of neurons. Each
More informationClassification images for detection and position discrimination in the fovea and parafovea
Journal of Vision (), -5 http://journalofvision.org//1// Classification images for detection and position discrimination in the fovea and parafovea Dennis M. Levi Stanley A. Klein School of Optometry,
More informationRelationship between spatial-frequency and orientation tuning of striate-cortex cells
1124 J. Opt. Soc. Am. A/Vol. 2, No. 7/July 1985 M. A. Webster and R. L. De Valois Relationship between spatial-frequency and orientation tuning of striate-cortex cells Michael A. Webster and Russell L.
More informationThe Bayesian Brain. Robert Jacobs Department of Brain & Cognitive Sciences University of Rochester. May 11, 2017
The Bayesian Brain Robert Jacobs Department of Brain & Cognitive Sciences University of Rochester May 11, 2017 Bayesian Brain How do neurons represent the states of the world? How do neurons represent
More informationAccommodation to stimuli in peripheral vision
Vol., No. 8/August 987/J. Opt. Soc. Am. A 8 Accommodation to stimuli in peripheral vision Yuanchao Gu and Gordon E. Legge University of Minnesota, Minneapolis, Minnesota Received November, 98; accepted
More informationHue discrimination in peripheral vision under conditions of dark and light adaptation*
Perception & Psychophysics 1974, Vol. 15, No.3, 586-590 Hue discrimination in peripheral vision under conditions of dark and light adaptation* BRUCE A. AMBLERt University of Oregon, Eugene, Oregon 97403
More informationAPPARENT CONTRAST OF SPATIALLY AND TEMPORALLY SAMPLED GRATINGS
ACTA NEUROBIOL. DXP. 1988, 48: 283-293 APPARENT CONTRAST OF SPATIALLY AND TEMPORALLY SAMPLED GRATINGS T. RADIL, G. NYMAN and P. LAURLNEN Institute of Physiology, Czechoslovak Academy of Sciences Videiiska
More informationthe contrast threshold before and after adaptation. There is a
J. Phyeiol. (1969), 23, pp. 237-26 237 With 1 plate and 13 text-figures Printed in Great Britain ON THE EXISTENCE OF NEURONES IN THE HUMAN VISUAL SYSTEM SELECTIVELY SENSITIVE TO THE ORIENTATION AND SIZE
More informationHigher Processing of Visual Information: Lecture II --- April 4, 2007 by Mu-ming Poo
Higher Processing of Visual Information: Lecture II April 4, 2007 by Muming Poo 1. Organization of Mammalian Visual Cortices 2. Structure of the Primary Visual Cortex layering, inputs, outputs, cell types
More informationRealistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex
massachusetts institute of technology computer science and artificial intelligence laboratory Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object
More informationOPTO 5320 VISION SCIENCE I
OPTO 5320 VISION SCIENCE I Monocular Sensory Processes of Vision: Color Vision Mechanisms of Color Processing VI. Retinal fundamentals A. Retinal fundamentals and cone photopigments B. Properties of cone
More informationLocal luminance factors that determine the maximum disparity for seeing cyclopean surface shape
Vision Research 40 (2000) 1157 1165 www.elsevier.com/locate/visres Local luminance factors that determine the maximum disparity for seeing cyclopean surface shape Lynn R. Ziegler *, Frederick A.A. Kingdom,
More informationFunctional form of motion priors in human motion perception
Functional form of motion priors in human motion perception Hongjing Lu,2 hongjing@ucla.edu Alan L. F. Lee alanlee@ucla.edu Tungyou Lin 3 tungyoul@math.ucla.edu Luminita Vese 3 lvese@math.ucla.edu Alan
More informationMotion Perception 1. PSY305 Lecture 12 JV Stone
Motion Perception 1 PSY305 Lecture 12 JV Stone 1 Structure Human visual system as a band-pass filter. Neuronal motion detection, the Reichardt detector. The aperture problem. 2 The visual system is a temporal
More informationA Model of Local Adaptation supplementary information
A Model of Local Adaptation supplementary information Peter Vangorp Bangor University, UK & MPI Informatik, Germany Karol Myszkowski MPI Informatik, Germany Erich W. Graf University of Southampton, United
More informationHow big is a Gabor patch, and why should we care?
Fredericksen et al. Vol. 14, No. 1/January 1997/J. Opt. Soc. Am. A 1 How big is a Gabor patch, and why should we care? R. E. Fredericksen* McGill Vision Research, 687 Pine Avenue West (H4-14), Montreal,
More informationStimulus Features that Determine the Visual Location of a Bright Bar
Stimulus Features that Determine the Visual Location of a Bright Bar R. J. Watr,* M. J. Morgan,* and R. M. Wordf A modification to the standard vernier target that has a detrimental effect on acuity is
More informationModeling retinal high and low contrast sensitivity lters. T. Lourens. Abstract
Modeling retinal high and low contrast sensitivity lters T. Lourens Department of Computer Science University of Groningen P.O. Box 800, 9700 AV Groningen, The Netherlands E-mail: tino@cs.rug.nl Abstract
More informationConcerns of the Psychophysicist. Three methods for measuring perception. Yes/no method of constant stimuli. Detection / discrimination.
Three methods for measuring perception Concerns of the Psychophysicist. Magnitude estimation 2. Matching 3. Detection/discrimination Bias/ Attentiveness Strategy/Artifactual Cues History of stimulation
More informationCharacteristics of Hyperacuity Sensitivity in Normal and Cyclovertical Deviation Subjects
Characteristics of Hyperacuity Sensitivity in Normal and Cyclovertical Deviation Subjects Masae Anno and Tetsushi Yasuma Yasuma Eye Clinic, Nagoya, Japan Purpose: To compare the sensitivity of hyperacuity
More informationLearning features by contrasting natural images with noise
Learning features by contrasting natural images with noise Michael Gutmann 1 and Aapo Hyvärinen 12 1 Dept. of Computer Science and HIIT, University of Helsinki, P.O. Box 68, FIN-00014 University of Helsinki,
More informationFlash masking and facilitation by nearby luminance perturbations
750 J. Opt. Soc. Am. A/Vol. 16, No. 3/March 1999 T. E. Cohn and D. I. A. MacLeod Flash masking and facilitation by nearby luminance perturbations Theodore E. Cohn Program in Vision Science, School of Optometry,
More informationShengfu LU Professor Brain Informatics Laboratory International WIC Institute Beijing University of Technology Beijing, China
NEW DEFINITIONS OF KINETIC VISUAL ACUITY AND KINETIC VISUAL FIELD AND THEIR AGING EFFECTS J. WU, S. LU, S. MIYAMOTO, Y. HAYASHI NEW DEFINITIONS OF KINETIC VISUAL ACUITY AND KINETIC VISUAL FIELD AND THEIR
More informationJan 16: The Visual System
Geometry of Neuroscience Matilde Marcolli & Doris Tsao Jan 16: The Visual System References for this lecture 1977 Hubel, D. H., Wiesel, T. N., Ferrier lecture 2010 Freiwald, W., Tsao, DY. Functional compartmentalization
More informationTemporal summation in human vision: Simple reaction time measurements
Perception &Psychophysics 1978, Vol. 23 (1), 43-5 Temporal summation in human vision: Simple reaction time measurements TAKEHIRO DENO Osaka City University, Sumiyoshi-ku, Osaka 558, Japan Simple reaction
More informationEffect of luminance on suprathreshold contrast perception
1352 J. Opt. Soc. Am. A/Vol. 8, No. 8/August 1991 Peli et al. Effect of luminance on suprathreshold contrast perception Eli Peli Physiological Optics nit, Eye Research Institute, Boston, Massachusetts
More informationAn Experimental Approach to a Definition of the Mesopic Adaptation Field
May 29 June 1, 2012 NRC Ottawa, Ontario CORM 2012 Annual Conference and Business Meeting An Experimental Approach to a Definition of the Mesopic Adaptation Field Tatsukiyo Uchida*, Yoshi Ohno** *Panasonic
More informationSpatial-frequency organization in primate striate cortex
Proc. Natl. Acad. Sci. USA Vol. 86, pp. 711-715, January 1989 Neurobiology Spatial-frequency organization in primate striate cortex (cortical modules/multiple channels/cytochrome oxidase "blobs") MARTIN
More informationDifferential Operators for Edge Detection
MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY Working Paper No. 252 March, 1983 Differential Operators for Edge Detection V. Torre & T. Poggio Abstract: We present several results
More informationDiscrimination of Compound Gratings: Spatial-Frequency Channels or Local Features?
~ Pergamon 0042-6989(95)00030-5 Vision Res. Vol. 35, No. 9, pp. 2685-2695, 995 Copyright 995 Elsevier Science Ltd Printed in Great Britain. All rights reserved 0042-6989/95 $9.50 + 0.00 Discrimination
More informationVisual motion processing and perceptual decision making
Visual motion processing and perceptual decision making Aziz Hurzook (ahurzook@uwaterloo.ca) Oliver Trujillo (otrujill@uwaterloo.ca) Chris Eliasmith (celiasmith@uwaterloo.ca) Centre for Theoretical Neuroscience,
More informationSUPPLEMENTARY INFORMATION
Supplementary discussion 1: Most excitatory and suppressive stimuli for model neurons The model allows us to determine, for each model neuron, the set of most excitatory and suppresive features. First,
More information9.01 Introduction to Neuroscience Fall 2007
MIT OpenCourseWare http://ocw.mit.edu 9.01 Introduction to Neuroscience Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Complex cell receptive
More informationINVARIANT TUNING OF MOTION AFTEREFFECT
Vi.wn Rrs. Vol. 3. So. 12. pp. 1947-1955. 1985 Pnnred in GreJt Bntain. All nghts ressnsd 00X-6989 85 5.00 + 0 00 Cop:.nght (_ lyx5 Pergamon Press Ltd INVARIANT TUNING OF MOTION AFTEREFFECT M. J. WRIGHT
More informationLateral organization & computation
Lateral organization & computation review Population encoding & decoding lateral organization Efficient representations that reduce or exploit redundancy Fixation task 1rst order Retinotopic maps Log-polar
More informationModeling Surround Suppression in V1 Neurons with a Statistically-Derived Normalization Model
Presented at: NIPS-98, Denver CO, 1-3 Dec 1998. Pulished in: Advances in Neural Information Processing Systems eds. M. S. Kearns, S. A. Solla, and D. A. Cohn volume 11, pages 153--159 MIT Press, Cambridge,
More informationFourier analysis of polar coordinate data in visual physiology and psychophysics
BehaviorResearchMethods & Instrumentation 1978, Vol. 10 (1), 8-14 Fourier analysis of polar coordinate data in visual physiology and psychophysics ROBERT SEKULER AND ROBERT ARMSTRONG Northwestern University,
More informationEffects of Betaxolol on Hodgkin-Huxley Model of Tiger Salamander Retinal Ganglion Cell
Effects of Betaxolol on Hodgkin-Huxley Model of Tiger Salamander Retinal Ganglion Cell 1. Abstract Matthew Dunlevie Clement Lee Indrani Mikkilineni mdunlevi@ucsd.edu cll008@ucsd.edu imikkili@ucsd.edu Isolated
More informationChapter 5 Forward-backward asymmetry: the effect of body position and pointer shapes
Chapter 5 Forward-backward asymmetry: the effect of body position and pointer shapes Abstract: In previous experiments with an exocentric pointing task we found that deviations from veridical settings
More informationDo Simple Cells in Primary Visual Cortex Form a Tight Frame?
LETTER Communicated by Alexandre Pouget Do Simple Cells in Primary Visual Cortex Form a Tight Frame? Emilio Salinas Instituto de Fisiolog õ a Celular, UNAM, Ciudad Universitaria S/N, 04510 México D.F.,
More informationVisual Field Asymmetries: The E ect of Configuration and Location
Visual Field Asymmetries: The E ect of Configuration and Location BY JENNIFER E. ANDERSON M.S. Computer Science (University of Illinois at Chicago) 2013 M.A. Psychology (University of Illinois at Chicago)
More informationSpatiotemporal flicker detector model of motion silencing
Perception, 214, volume 43, pages 1286 132 doi:1.168/p7772 Spatiotemporal flicker detector model of motion silencing Lark Kwon Choi 1, Alan C Bovik 1, Lawrence K Cormack 2 1 Department of Electrical and
More informationIntroduction to Colorimetry
IES NY Issues in Color Seminar February 26, 2011 Introduction to Colorimetry Jean Paul Freyssinier Lighting Research Center, Rensselaer Polytechnic Institute Troy, New York, U.S.A. sponsored by www.lrc.rpi.edu/programs/solidstate/assist
More informationVisual Motion Analysis by a Neural Network
Visual Motion Analysis by a Neural Network Kansai University Takatsuki, Osaka 569 1095, Japan E-mail: fukushima@m.ieice.org (Submitted on December 12, 2006) Abstract In the visual systems of mammals, visual
More informationFundamentals of Computational Neuroscience 2e
Fundamentals of Computational Neuroscience 2e January 1, 2010 Chapter 10: The cognitive brain Hierarchical maps and attentive vision A. Ventral visual pathway B. Layered cortical maps Receptive field size
More informationSpike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation
NOTE Communicated by Jonathan Victor Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation Robert E. Kass kass@stat.cmu.edu Valérie Ventura vventura@stat.cmu.edu
More informationAbsence of a chromatic linear motion mechanism in human vision
Vision Research 40 (2000) 1993 2010 www.elsevier.com/locate/visres Absence of a chromatic linear motion mechanism in human vision Tatsuya Yoshizawa *, Kathy T. Mullen, Curtis L. Baker Jr. Department of
More informationTuning tuning curves. So far: Receptive fields Representation of stimuli Population vectors. Today: Contrast enhancment, cortical processing
Tuning tuning curves So far: Receptive fields Representation of stimuli Population vectors Today: Contrast enhancment, cortical processing Firing frequency N 3 s max (N 1 ) = 40 o N4 N 1 N N 5 2 s max
More informationSustained and transient channels
Sustained and transient channels Chapter 5, pp. 141 164 19.12.2006 Some models of masking are based on two channels with different temporal properties Dual-channel models Evidence for two different channels
More information0*521. (see Fig. 5, p. 43 in Denton & Pirenne, 1954) was mounted in front of the source. The
369 J. Physiol. (I959) I45, 369-373 THE MINIMUM FLUX OF ENERGY DETECTABLE BY THE HUMAN EYE F. H. C. MARRIOTT,* VALERIE B. MORRIS AND M. H. PIRENNE From the University Laboratory of Physiology, Oxford (Received
More informationHow Complex Cells Are Made in a Simple Cell Network
How Complex Cells Are Made in a Simple Cell Network Louis Tao Courant Institute, New York University Collaborators: Michael Shelley (Courant, NYU) Robert Shapley (CNS, NYU) David McLaughlin (Courant, NYU)
More informationSpatial Vision: Primary Visual Cortex (Chapter 3, part 1)
Spatial Vision: Primary Visual Cortex (Chapter 3, part 1) Lecture 6 Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Princeton University, Spring 2015 1 Chapter 2 remnants 2 Receptive field:
More information3.3 Population Decoding
3.3 Population Decoding 97 We have thus far considered discriminating between two quite distinct stimulus values, plus and minus. Often we are interested in discriminating between two stimulus values s
More informationMorphology of physiologically identified neurons in the visual cortex of the cat
344 Brain Research, 172 (1979) ~44-348 O Elsevier/North-Holland Biomedical Presg Morphology of physiologically identified neurons in the visual cortex of the cat C.-S. LIN*, MICHAEL J. FRIEDLANDER** and
More informationPosition Variance, Recurrence and Perceptual Learning
Position Variance, Recurrence and Perceptual Learning Zhaoping Li Peter Dayan Gatsby Computational Neuroscience Unit 7 Queen Square, London, England, WCN 3AR. zhaoping@gatsby.ucl.ac.uk dayan@gatsby.ucl.ac.uk
More informationSlow Feature Analysis on Retinal Waves Leads to V1 Complex Cells
Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells Sven Dähne 1,2,3 *, Niko Wilbert 2,3, Laurenz Wiskott 2,3,4 1 Machine Learning Group, Department of Computer Science, Berlin Institute of
More informationCharles Cadieu, Minjoon Kouh, Anitha Pasupathy, Charles E. Connor, Maximilian Riesenhuber and Tomaso Poggio
Charles Cadieu, Minjoon Kouh, Anitha Pasupathy, Charles E. Connor, Maximilian Riesenhuber and Tomaso Poggio J Neurophysiol 98:733-75, 27. First published Jun 27, 27; doi:.52/jn.265.26 You might find this
More informationAdaptation in the Neural Code of the Retina
Adaptation in the Neural Code of the Retina Lens Retina Fovea Optic Nerve Optic Nerve Bottleneck Neurons Information Receptors: 108 95% Optic Nerve 106 5% After Polyak 1941 Visual Cortex ~1010 Mean Intensity
More informationContrast gain control: a bilinear model for chromatic selectivity
B. Singer and M. D Zmura Vol. 12, No. 4/April 1995/J. Opt. Soc. Am. A 667 Contrast gain control: a bilinear model for chromatic selectivity Benjamin Singer and Michael D Zmura Department of Cognitive Sciences
More informationDivisive Inhibition in Recurrent Networks
Divisive Inhibition in Recurrent Networks Frances S. Chance and L. F. Abbott Volen Center for Complex Systems and Department of Biology Brandeis University Waltham MA 2454-911 Abstract Models of visual
More informationLocal luminance and contrast in natural images
Vision Research xxx (2006) xxx xxx www.elsevier.com/locate/visres Local luminance and contrast in natural images Robert A. Frazor 1, Wilson S. Geisler * Department of Psychology and Center for Perceptual
More informationThe Temporal Dynamics of Cortical Normalization Models of Decision-making
Letters in Biomathematics An International Journal Volume I, issue 2 (24) http://www.lettersinbiomath.org Research Article The Temporal Dynamics of Cortical Normalization Models of Decision-making Thomas
More informationNeural Encoding II: Reverse Correlation and Visual Receptive Fields
Chapter 2 Neural Encoding II: Reverse Correlation and Visual Receptive Fields 2.1 Introduction The spike-triggered average stimulus introduced in chapter 1 is a standard way of characterizing the selectivity
More informationA MEAN FIELD THEORY OF LAYER IV OF VISUAL CORTEX AND ITS APPLICATION TO ARTIFICIAL NEURAL NETWORKS*
683 A MEAN FIELD THEORY OF LAYER IV OF VISUAL CORTEX AND ITS APPLICATION TO ARTIFICIAL NEURAL NETWORKS* Christopher L. Scofield Center for Neural Science and Physics Department Brown University Providence,
More informationΣ S(x )δ x. x. Σ S(x )δ x ) x Σ F(S(x )δ x ), by superposition x Σ S(x )F(δ x ), by homogeneity x Σ S(x )I x. x. Σ S(x ) I x (y ) = x
4. Vision: LST approach - Flicker, Spatial Frequency Channels I. Goals Stimulus representation System identification and prediction II. Linear, shift-invariant systems Linearity Homogeneity: F(aS) = af(s)
More informationTwo motion perception mechanisms revealed through distancedriven reversal of apparent motion
Proc. Nati. Acad. Sci. USA Vol. 86, pp. 2985-2989, April 1989 Psychology Two motion perception mechanisms revealed through distancedriven reversal of apparent motion CHARLES CHUBB AND GEORGE SPERLING Human
More information5. KOHONEN S NETWORK FOR MODELING THE AUDITORY CORTEX OF A BAT
5. Kohonen s Network for Modeling the Auditory Cortex of a Bat 74 5. KOHONEN S NETWORK FOR MODELING THE AUDITORY CORTEX OF A BAT In this chapter we employ Kohonen s model to simulate the projection of
More informationNatural Image Statistics
Natural Image Statistics A probabilistic approach to modelling early visual processing in the cortex Dept of Computer Science Early visual processing LGN V1 retina From the eye to the primary visual cortex
More informationModel of human visual-motion sensing
322 J. Opt. Soc. Am. A/Vol. 2, No. 2/February 1985 A. B. Watson and A. J. Ahumada, Jr. Model of human visual-motion sensing Andrew B. Watson and Albert J. Ahumada, Jr. Perception and Cognition Group, NASA
More information+ + ( + ) = Linear recurrent networks. Simpler, much more amenable to analytic treatment E.g. by choosing
Linear recurrent networks Simpler, much more amenable to analytic treatment E.g. by choosing + ( + ) = Firing rates can be negative Approximates dynamics around fixed point Approximation often reasonable
More informationBINOCULAR FUSION LIMITS ARE I~EPEN~E~ OF CONTRAST, LUMINANCE GRADIENT AND COMPONENT PHASES
Vision Res. Vol. 29, No. 7, pp, 821-835, 1989 0042-6989189 S3.00 + 0.00 printed in Gnat Britain. All r@ts ns~rwd Copyright Q 1989 Pergamon PIWI plc BINOCULAR FUSION LIMITS ARE I~EPEN~E~ OF CONTRAST, LUMINANCE
More informationBrain-Like Approximate Reasoning
Andrzej W. Przybyszewski Dept Neurology, UMass Medical Center, MA, USA, and Dept Psychology McGill, QC, Canada Andrzej.Przybyszewski@umassmed.edu Humans can easily recognize objects as complex as faces
More informationRESEARCH STATEMENT. Nora Youngs, University of Nebraska - Lincoln
RESEARCH STATEMENT Nora Youngs, University of Nebraska - Lincoln 1. Introduction Understanding how the brain encodes information is a major part of neuroscience research. In the field of neural coding,
More informationThe idiosyncratic nature of confidence
SUPPLEMENTARY INFORMATION Articles DOI: 10.1038/s41562-017-0215-1 In the format provided by the authors and unedited. The idiosyncratic nature of confidence 1,2 Joaquin Navajas *, Chandni Hindocha 1,3,
More informationModeling magnification and anisotropy in the primate foveal confluence
University of Wollongong Research Online Faculty of Social Sciences - Papers Faculty of Social Sciences 2010 Modeling magnification and anisotropy in the primate foveal confluence Mark M. Schira University
More informationEfficient Coding. Odelia Schwartz 2017
Efficient Coding Odelia Schwartz 2017 1 Levels of modeling Descriptive (what) Mechanistic (how) Interpretive (why) 2 Levels of modeling Fitting a receptive field model to experimental data (e.g., using
More informationEmergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
LETTER Communicated by Bartlett Mel Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces Aapo Hyvärinen Patrik Hoyer Helsinki University
More informationDistraction of attention and the slope of the psychometric function
L. L. Kontsevich and C. W. Tyler Vol. 16, No. 2/February 1999/J. Opt. Soc. Am. A 217 Distraction of attention and the slope of the psychometric function Leonid L. Kontsevich and Christopher W. Tyler Smith-Kettlewell
More informationConverting Between Measures of Slope of the Psychometric Function 1
Converting Between Measures of Slope of the Psychometric Function 1 Hans Strasburger Generation Research Program (Bad Tölz, Humanwissenschaftliches Zentrum, Ludwig-Maximilians-Universität, München Institut
More informationencoding and estimation bottleneck and limits to visual fidelity
Retina Light Optic Nerve photoreceptors encoding and estimation bottleneck and limits to visual fidelity interneurons ganglion cells light The Neural Coding Problem s(t) {t i } Central goals for today:
More informationPerformance of a differential contrast sensitivity method to measure intraocular scattering
Vol. 8, No. 3 1 Mar 2017 BIOMEDICAL OPTICS EXPRESS 1382 Performance of a differential contrast sensitivity method to measure intraocular scattering ALEXANDROS PENNOS,1,* HARILAOS GINIS,1,2 AUGUSTO ARIAS,1
More information