 |
| Volume 4, Number 3, Article 10, Pages 241-249 |
doi:10.1167/4.3.10 |
http://journalofvision.org/4/3/10/ |
ISSN 1534-7362 |
Brightness discrimination in the dog
Gabriele Pretterer |
Institute for Physiology, Veterinary University Vienna, Vienna, Austria |
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Hermann Bubna-Littitz |
Institute for Physiology, Veterinary University Vienna, Vienna, Austria |
|
Gerhard Windischbauer |
Institute for Medical Physics and Biostatistics, Veterinary, University Vienna, Vienna, Austria |
|
Cornelia Gabler |
Institute for Medical Physics and Biostatistics, Veterinary, University Vienna, Vienna, Austria |
|
Ulrike Griebel |
The University of Memphis, Department of Biology, Memphis, TN, USA |
|
Abstract
Almost nothing is known about brightness discrimination in animals and how this ability relates to their lifestyles. As arrhythmic visual generalists, three dogs, a German shepherd and two Belgian shepherds, were tested on their ability to discriminate brightness using a series of 30 shades of grey varying from white to black. The dogs were trained to discriminate between different shades of grey in a simultaneous two-choice situation. Weber’s law can be correlated to their ability to discriminate brightness differences with a calculated Weber fraction of 0.22 for the German shepherd and 0.27 for the Belgian shepherds. Thus brightness discrimination in dogs is about 2 times worse than in humans, a diurnal species.
History
Received June 15, 2003; published April 6, 2004
Citation
Pretterer, G., Bubna-Littitz, H., Windischbauer, G., Gabler, C., & Griebel, U. (2004). Brightness discrimination in the dog.
Journal of Vision, 4(3):10, 241-249,
http://journalofvision.org/4/3/10/,
doi:10.1167/4.3.10.
Keywords
dog, Canis familiaris, brightness discrimination
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Almost nothing is known about brightness discrimination
in animals and how this ability relates to their lifestyles. To date, studies on
brightness discrimination involve only a handful of species: humans (Cornsweet
& Pinsker, 1965; Griebel & Schmid,
1997), two species of fur seals (Busch
& Dücker, 1987), the West Indian
manatee (Griebel & Schmid, 1997), and
the coatis (Chausseil & Löhmer, 1986). From such a small sample, we
have no foundation to draw conclusions about differences between diurnal,
arrhythmic, and nocturnal species. This represents a major gap in our
understanding of vision.
This work reports results on a canid species, the dog,
an arrhythmic animal, active during both day and night. The dog is thus a visual
generalist who uses vision in a wide range of ambient light levels. The visual
system of the dog has been subject to various investigations in the past (for a
review, see Miller & Murphy, 1995).
Interestingly, however, we know less about the visual
abilities of domestic dogs then we do about certain wild species of wolves and
monkeys and domestic species such as cats and laboratory rats. Data about the
visual capacities of dogs are valuable, not only because they add to our
knowledge of comparative sensory functions, but also because they could have
practical applications because working dogs are used in a variety of different
tasks where vision is necessary. Thus, for a retriever to do his job, he needs
visually to track and mentally mark the places where birds fall. The job done by
sheepherding dogs depends on their ability to detect small movements of members
of a herd to keep the flock together. Shepherding dogs also need their eyes to
pick up the hand or arm signals of the master indicating which direction to go
first, and where to move the flock. And, of course, guide dogs must serve as
surrogate eyes for their charges. However, what we as humans can expect of dogs
will depend in great measure on their sensory abilities.
Several behavioral investigations have shown that
visual cues are very important for canids in interactions between conspecifics
as well as during hunting (Osterholm, 1964;
Fox, 1971; Lehner, 1978; Wells & Lehner, 1978). Canids seem to be visual generalists that
are able to operate under a wide range of photic conditions. A superiorly
located reflective tapetum lucidum probably enhances the view of a usually
darker ground and the inferiorly located tapetum nigrum may reduce scattering
light from the bright sky (Wen, Sturman, & Shek, 1985; Lesiuk & Braekevelt, 1983; Burns, Bellhorn, Impellizzeri, Aguirre,
& Laties, 1988).
Canid retinas predominantly contain rods. Peichl ( 1991) reports that cones make up only 3% of all
photoreceptors in dog and wolf retinas. In the central portion of the retina,
they are more numerous and amount to 20% of all receptors, whereas in regions
outward from the area centralis, the cone/rod ratio decreases (Koch & Rubin,
1972; Parry, 1953; Allgoewer, 1991; Peichl, 1991). Human retinas contain about 5% cones and
are also distributed differently than in the canids. Rods are completely absent
in the central foveal pit and increase in numbers toward the periphery of the
retina (Curcio & Hendrickson, 1991).
The presence of cones in the canid retina suggests the
possibility of color vision. Although early behavioral studies on dog color
vision produced ambiguous results (reviewed by Rosengreen, 1969), both recent behavioral studies (Coile,
1982; Neitz, Geist, & Jacobs, 1989) and visual-evoked potential studies
(Aguirre, 1978; Odom, Bromberg, & Dawson,
1983) have demonstrated that dogs possess
dichromatic color vision, with two classes of cone pigments, having spectral
peaks at 429 nm and 555 nm.
Electroretinographic studies have confirmed these
findings. Parry, Tansley, and Thompson ( 1953) found a maximal spectral
sensitivity of the cones at 580 nm and 430 nm in the dog, and Jacobs, Deegan,
Crognale, and Fenwick ( 1993), using
electroretinogram flicker photometry, showed that four species of canids (dog,
Island grey fox, red fox, and Arctic fox) have a long-wavelength sensitive cone
with a peak sensitivity at 555 nm and a short-wavelength sensitive cone with a
peak sensitivity of about 430 nm, a pattern suggesting that all canids might
have a very similar dichromatic color vision system. A study from molecular
genetics also supports these findings (Yokoyama & Radlwimmer, 1998). Scotopic sensitivity has a peak around
507 nm (Scheibner & Schmid, 1969; Kemp
& Jacobson, 1992; Parkes, Aguirre, Rockes,
& Liebman, 1982; Jacobs et al., 1993).
Arey and Gore ( 1942)
showed that the retina of the dog contains about 150,000 ganglion cells. The
optic chiasm has a crossover of about 75% in the dog, consistent with good
binocular vision. The monocular field of view in the average dog is
approximately 135–150 º, and
the binocular field is estimated to be about
30–60 º (Sherman &
Wilson, 1975). Visual acuity was tested
behaviorally in a medium-sized, mixed-breed dog by Neuhaus and Regenfuss ( 1967). The threshold (minimum separable) was
found to be at 4'50'' (6.3 cycles/deg) at an illumination level of 37 lux.
Several studies using visually evoked potential measurements have been conducted
with various results. In two beagles, an average threshold of 4.62 cycles/deg
was reported (Bromberg & Dawson, 1980),
whereas another electrophysiological study measuring retinal and cortical field
potentials found much lower thresholds of 11.61 cycles/deg (about 2'40'') and
12.59 cycles/deg (about 2'35'') for three beagles and one mixed-breed dog,
respectively (Odom et al., 1983). A more recent
study with three beagles found thresholds between 7.0 to 9.5 cycles/deg (about
4'19'' to 3'10'') (Murphy, Mutti, Zadnik, & Ver Hoeve, 1997).
Peichl ( 1992) has
shown that several breeds of dogs as well as the wolf have a more or less
pronounced "visual streak" of high ganglion cell density, extending from the
central area into both temporal and nasal retina. The temporal resolution of the
cones in dogs (70–80 Hz) seems to be a little higher than in humans
(50–60 Hz), whereas the critical flicker fusion frequency of the rods
seems to be similar to humans (about 20 Hz) (Aquirre, 1978; Wadensten, 1956; Coile, Pollitz, & Smith, 1989).
One feature of the visual system that has not been
studied is the brightness discrimination ability of the dog. Orbeli ( 1908) claimed that dogs are able to differentiate
perfectly among closely related shades of grey that are indistinguishable to the
human eye (Duke-Elder, 1958), but this
claim has not been investigated formally. In general, only very few species have
been tested on their ability to discriminate brightness, so the basis for
comparison is still very small.
In our study, brightness discrimination in German and
Belgian shepherd dogs was examined in a simultaneous two-choice situation. The
tests were designed to show how much two steps of grey had to differ in their
relative reflection to be discriminated by the animals and how this difference
in relative reflection varied from bright to dark stimuli.
SubjectsThe
experiments where conducted with three dogs of the Austrian police dog section
at their housing and training facility in Strebersdorf, Vienna. Ajax, a male
German shepherd, was aged 1.5 years at the beginning of the experiments. Astar,
a male Belgian shepherd (Malinois), was aged 3 years, and Robby, another male
Belgian shepherd (Malinois) was aged 1.5 years when the experiments started.
None of the three experimental animals was used for police work during the time
of the experiments. Before the start of the experiments, the eyes of all three
dogs were thoroughly examined (including slit-lamp microscopy and indirect
ophthalmoscopy) by a veterinarian eye specialist (Professor I. Walde, Institute
for Surgery and Ophthalmology, Veterinary University Vienna) and were found to
be in perfect condition. The experimental animals were maintained and treated
according to the ABS/ASAB Guidelines for the Treatment of Animals in Behavioral
Research and Teaching.
The experiments where carried out in an indoor facility
under artificial light conditions. Each dog was trained and tested separately.
The training and test sessions were carried out twice a day for each dog. The
first session started in the morning and was carried out until noon, whereas the
afternoon sessions started about 1 p.m. and usually lasted until the
evening.
Little food balls were used as reinforcement. They were
formed from a mixture of meat, innards, flakes, and pollard, the usual daily
diet. The dogs were fed only during the experimental sessions and got their full
daily food ratio during that time. When they did not receive all of it during
the trials, the rest was fed to them right after the session.
In the brightness discrimination task, the dogs had to
discriminate two grey targets of differing brightness in a two-fold
simultaneous-choice situation. The grey stimuli consisted of a series of 30
shades of grey. The grey plates were produced by exposing photographic paper in
an arithmetic series of exposure times resulting in shades from white to black.
The photographic papers were fixed to plastic plates (30 x 30 cm) and covered
with a dull nonreflecting varnish. The spectral reflectance of the grey plates
was measured using a spectrophotometer (MCS 230; Zeiss, Germany) to ensure that
the spectral distribution of the reflected light was the same in the spectral
range from 350–800 nm. The relative lightness of the grey plates was measured (Bacher-On-Line-Densiometer), the values expressed in photographic density ( D), and converted into relative reflection ( R(%) = 100 x 10-D). Table 1 gives the density, the relative reflection values, and the cd/m 2 (human photometric units) of all grey targets from white to black (1-30). Table 1. Thirty-part series of grey stimuli. For each shade, the values of density (D), relative reflection (R), and cd/m2 are
given.
The tests were conducted in an indoor facility in a
specially prepared experimental room without windows. The room (see Figure 1) was 7.2-m long and 4.10-m wide. The walls and partitions were white, and the room was illuminated with eight fluorescent tubes (Philips TLD 58 W/950 De Luxe 90) with a daylight-equivalent emission spectrum. The ambient light directly in front of the stimulus plates was measured with a Minolta Chroma-Meter XY-1; the constant illumination level was at 600 lx (human photometric units).
The stimulus plates were presented to the dogs in two
identical plexiglass boxes (34.7 x 32.2 x 0.8 cm) with a handle on top to
facilitate the change of the stimulus boxes. These boxes were inserted into two
frames with nonreflecting front screens that were fixed to the front doors of
two plywood boxes (60 x 60 x 60 cm). The front doors of the plywood boxes were
hinged on top and could be pushed in easily by the dogs with their snouts and
also stayed in an open position to make it possible for the dogs to get to their
reward. Inside the feeding dish with the food was in a depression so that the
opening of the door would not push the dish backward. The front doors could be
bolted with a bar. The boxes were placed at the back wall of the room at a
distance of 1.1 m from each other.
Because dogs react even to subtle facial expressions or
gestures, even subconscious ones, any kind of cueing from the experimenter had
to be avoided. The procedure was as follows (see Figure 1).
Figure 1. Experimental setup.
The dogs were stationed behind a partition (d) during
the exchange of the stimulus boxes, so they could not see the changing of the
stimuli. To avoid acoustical cueing, both stimulus boxes were taken out of the
frames after each trial, whether they stayed in the same position or
not.
After the positioning of the stimuli, the experimenter went
behind the partition and called the dog's name followed by the word "test", commanding
the dog to walk from its starting position (see Figure 1) around
the table (c) and then straight into the experimental room to make its choice. Thus
the experimenter could not subconsciously influence the direction in which the dog would
walk by manipulating the collar. The experimenter could, however, watch the choice of the
dog through a small slit in the wall of the partition (15 x 2.5 cm). When the dog made a
correct choice, the front door of the stimulus box would open and the dog could eat the
food reward. Then it was called back to the adjacent room. With an incorrect choice, a
whistle was blown and the dog came back to the adjacent room.
One test session consisted of a maximum of 31 trials.
Each animal had two test sessions per day. After each trial, the stimulus boxes
were changed and the food replaced. To avoid cueing by odors, both boxes
contained food in all experiments, but only the positive stimulus box could be
opened. The dogs never touched the stimulus box itself, but only the plexiglass
screen of the front door of the stimulus box, a precaution that also excluded
chemical cueing. After 10 trials, there was a break of 10 min before continuing
the session. During these breaks, the experimenter went outside with the dog and
played with it. Before the next dog started the session, the plexiglass fronts
of the stimulus boxes were cleaned with alcohol (70%) to avoid olfactory
cues.
The position of the positive stimulus was changed
according to the criteria of Gellerman (1933). During a series of 10 trials, the
positive stimulus appeared 5 times on each side and did not remain at one
position more than 2 times in a row, unless the animal made a wrong choice. In
this case, the positive stimulus stayed in the same position until the animal
chose correctly, a common procedure to discourage side preferences.
In the experiment, the dogs had to discriminate two
grey targets in a two-fold simultaneous-choice situation.
In the training, the dogs first learned the
discrimination of the brightest (G1) grey versus a dark grey (G20). The animals
had to choose the brighter grey as the positive stimulus. During the training
(as well as during the tests), a non-correction procedure was used. The number
of trials per training was limited to 31. At the beginning, the whistle was not
used as a secondary reinforcer, but later it became necessary because after an
incorrect choice, the dogs stayed in the room and tried to push in the door of
the stimulus boxes by force. After the introduction of the whistle, they stopped
this behavior immediately.
When the performance reached the level of over 90% in
31 consecutive trials (28 correct choices in 31 trials), the next grey, which
was six steps brighter (G 14), was presented with G1. When they passed the 90%
level again, the next grey (G7) was presented until they again reached more than
90% in 31 trials. Then the test was started.
To minimize the number of trials, the tests followed a
closed sequential statistical plan for an error probability of
a ≤ 0.05
(Bauer, Scheiber, & Wohlzogen, 1986). Thus
the number of trials tested for each combination of greys was not constant. The
maximal number of trials per session was 31. When they finished one combination
before reaching 31 trials, the next combination was tested. During one session
not more than two new combinations of greys were presented to the dog. After the
combination G1 X G7, G6 to G2 was tested with G1. After completing the series
with G1 as the standard, this step-by-step approximation to the threshold was
repeated for every grey shade of the 30-part series. When a threshold was
reached, the last discriminable combination and the threshold combination were
tested again. In case the repetition yielded a different outcome, the test was
repeated again above and below the threshold until there were two tests in a row
that yielded the same results. This last session was taken to determine the
threshold.
The experiments were conducted between September and
December 1998 (6 days a week). In the initial training phase, Ajax learned to
use the mechanism of the boxes in 1 training session, Astar in 2, and Robby, who
was initially afraid of the boxes, in 5 sessions. For the training of the
discrimination grey against grey, starting with the combination G1 X G20, then
going down to G1 X G7, Ajax had 12, Astar 17, and Robby 15 training
sessions.
The threshold of relative reflection for a choice frequency of 75% for every shade of grey was linearly interpolated for the three dogs.
To compare the results for the dogs with the data for
other species, the relative difference threshold or Weber fraction was
calculated. Weber's law states that the difference between two stimuli that is
just noticeable depends on the magnitude of the starting stimulus. The greater
the magnitude of the starting stimulus, the greater the just noticeable
difference
( ΔI/I
= k, where
I is the intensity
of the starting stimulus,
Δ I is the
absolute intensity difference threshold, and
k is the relative
difference threshold) (i.e., the Weber fraction). Weber's law does not apply to
very low- or very high-stimulus intensities, but neither very high nor very low
intensities were used in this experiment. The Weber fraction was calculated for
each threshold
ΔR*/R, where
ΔR* is the
difference in the relative reflectance between the distinguishable greys (see Table 2). Table 2
shows an example for the calculation of the Weber fraction for the dog Ajax. The
mean Weber fraction for Ajax was 0.22 and for Astar and Robby, 0.27.
Table 2.
Example for the calculation of the Weber fraction for the dog Ajax. x indicates
that the threshold could not be calculated here because the animal could
discriminate the adjacent grey.
Figure 2 shows the
dependence of the difference threshold
[ ΔR*(%)] on
the magnitude of the stimulus
R(%). The best fit
to the data is a straight line, indicating that the threshold intensity
difference (= difference in relative reflection)
[ ΔR*(%)] is
directly proportional to the intensity (relative reflection)
R(%).
Figure 2. The amount of relative reflection ΔR*
by which two greys had to differ in order for the subjects to distinguish
between them, as a function of the relative reflection
R
(%) of the brighter grey. The data fall approximately on a straight line,
indicating that the threshold intensity difference
ΔR*
is proportional to the intensity
R,
in agreement with Weber's law. Ajax:
y
=
0.26x
– 0.66,
r =
0.98 ;
Astar: y
=
0.24x
+ 0.27,
r =
0.95 ; and
Robby: y
=
0.29x
– 0.55,
r =
0.95.
Figure 3 shows the Weber fractions
for each threshold for Ajax, Astar, and Robby
( ΔR*/R) for
each of the grey stimuli of the 30-part series [given in relative reflection,
R(%) as well as cd/m 2]. Interestingly, Ajax, the German shepherd, is consistently at least one step better than the two Belgian shepherds.
Figure 3. Weber fractions for each
threshold for Ajax, Astar, and Robby
(ΔR*/R)
for each stimulus of the 30-part series (values are given in relative reflection
R [%] and in cd/m2).
The difference in relative reflection that the dogs
could discriminate varied with the absolute brightness of the stimuli according
to the Weber fraction, which was 0.22 for Ajax, and 0.27 for Astar and Robby.
Because the method and the stimuli we used were the same ones that were used by
Griebel and Schmid ( 1997) in replicating
the human thresholds of Cornsweet and Pinsker ( 1965), we are confident that the methods we
employed with the dogs are valid. The German shepherd, Ajax, was generally
one-to-two-steps better in discriminating the greys than the two Belgian
shepherds Astar and Robby, who had almost identical results. Ajax could
discriminate two adjacent greys in the bright range of the grey scale without
problems up to G8 (26.9 % relative reflection), whereas the two Belgian
shepherds started to have difficulties by G5 (37.2 % relative reflection). As
shown in Table 2, the dogs could discriminate
much smaller brightness differences in the dark range of the grey scale, which
is also in accordance with Weber's law. The lowest single threshold in
difference in relative reflection that the dogs could discriminate was 1.03% for
Ajax, 2.33% for Astar, and 2.03% for Robby.
So far very few species have been investigated with
respect to brightness discrimination ability, and in the few studies available,
different evaluation methods have been used, which complicates the comparison of
the data. Two species of fur seals, Arctocephalus pusillus and Arctocephalus
australis, have been tested with a series of 28 greys (Busch & Dücker,
1987). The results for both species were very
similar. Griebel and Schmid ( 1997)
calculated the Weber fraction from the data of Busch and Dücker ( 1987) to be around 0.30. Griebel and Schmid ( 1997) conducted a brightness discrimination
test in the West Indian manatee (Trichechus manatus) and found a Weber fraction
of 0.35. They also tested two human observers under the same experimental
conditions as the manatees, and calculated a Weber fraction of 0.11. The results
of the human subjects agree well with the earlier results obtained by Cornsweet
and Pinsker ( 1965), who found a Weber
fraction of 0.14 in humans. Chausseil and Löhmer ( 1986) could not determine thresholds in their
study on brightness discrimination with nocturnal coatis, because their 20-part
series of greys was not a fine enough scale.
Ambient light conditions varied considerably in these
studies. Whereas the manatees and the human subjects (Griebel & Schmid, 1997) were tested under constant ambient light
levels of 150 lux, the fur seals (Busch & Dücker, 1987) were tested in an outdoor facility under
high but varying light levels, probably yielding photopic conditions. The reason
we cannot be absolutely sure about the degrees of photopic adaptation is that
many animals, especially arrhythmic ones such as seals and sea lions, have
highly flexible pupils that can drastically reduce the amount of light reaching
the retina. In pinnipeds and cetaceans, the shapes of the photopic spectral
sensitivity functions suggest that rods contribute to spectral sensitivity even
under ambient daylight conditions. This is probably achieved by constricting the
pupil to a small slit aperture, thus maintaining a level of retinal illumination
where both rods and cones can function (Crognale, Levenson, Ponganis, Deegan,
& Jacobs, 1998; Griebel & Schmid, 2002). Manatees might use a similar
mechanism.
We assume that the human subjects in Griebel and
Schmid’s study probably predominantly used the cone system. Cornsweet and
Pinsker ( 1965) measured their subjects
under dark adaptation, yielding the same Weber fraction as the later study by
Griebel and Schmid ( 1997) under photopic
conditions, 0.14 and 0.11, respectively. The three dogs in the current study
were tested in ambient light levels of 600 lux, suggesting that the cones were
predominantly involved in the discrimination.
Compared with these species, dogs seem to be in the
middle range, but closer to the fur seals and manatees than to the humans. Like
fur seals and manatees, dogs and other canid species are active during the day
as well as during the night (Buehler, 1974;
Lloyd, 1980). Their visual systems seem to be
well adapted to both scotopic and photopic conditions. Thus dogs seem to be
visual generalists, who also make extensive use of smell, just as manatees and
fur seals probably compensate for visual deficiencies with their highly
sensitive vibrissae. The brightness discrimination ability in humans, a diurnal
species, seems to be about 2 times better than in the dog. Unfortunately, we do
not have the comparison with a truly nocturnal species, because thresholds with
nocturnal coatis could not be determined. Thus it is too early to draw any
general conclusions regarding ecological correlates of brightness discrimination
and lifestyle.
We know a great deal about how different species differ
in color vision, acuity, and other capabilities of the visual system, but we
know almost nothing about how species differ in brightness discrimination
abilities. Hopefully, this study will inspire further investigations.
We are indebted to the Department of the Interior, the
police dog section, Vienna, and to Colonel T. Diethart for permitting us to test
the dogs and use the facility. This study was supported with a research grant by
the Veterinary University of
Vienna.
Commercial relationships: none.
Corresponding author: Ulrike Griebel.
Email: ugriebel@memphis.edu.
Address: The University of Memphis, Dept. of
Biology, 103 Ellington Hall, 3700 Walker Avenue, Memphis, TN 38152.
Aguirre, G. (1978). Retinal
degeneration in the dog: Rod dysplasia.
Experimental Eye Research, 26, 233-253.
[ PubMed]
Allgoewer, I. (1991). Zur
mikroskopischen Anatomie der Pars optica der Haussäugetiere und einiger
Nager. Dissertation, Ludwig-Maximillian-Universität München.
Arey, L. B., & Gore, M. (1942).
The numerical relationships between the ganglion cells of the retina and the
fibres in the optic nerve of the dog. Journal
of Comparative Neurology, 77, 609-617.
Bauer, P., Scheiber, V., &
Wohlzogen, F. (1986). Biometrie. Sequentielle
statistische Verfahren. Stuttgart: Gustav Fischer.
Bromberg, N. M., & Dawson,
W. W. (1980). Preliminary measures of canine visual spatial resolution with
electrophysiological techniques. Transactions
of the American College of Veterinary Ophthalmological Society, 11,
120-125.
Buehler, L. E. (1974).
Wild dogs of the world. London:
Constable.
Burns M. S., Bellhorn, R. W.,
Impellizzeri, C. W., Aguirre, G. D., & Laties, A. M. (1988). Development of
hereditary tapetal degeneration in the beagle
dog. Current Eye Research,
7, 103-114. [ PubMed]
Busch, H., & Dücker,
G. (1987). Das visuelle
Leistungsvermögen der Seebären
( Arctocephalus pusillus und
Arctocephalus australis).
Zoologischer Anzeiger, 219,
197-224.
Chausseil, M., &
Löhmer, R. (1986). Untersuchungen über das Helligkeitssehen beim
Wickelbären. Zeitschrift für
Säugetierkunde, 51, 274-281.
Coile, D. C. (1982). A
determination of critical flicker fusion as a function of light intensity in
dogs using conditional suppression. Master’s thesis, Florida State
University, Tallahassee, FL.
Coile, D. C., Pollitz, C. H.,
& Smith, J. C. (1989). Behavioral determination of critical flicker fusion
in dogs. Physiology and Behavior, 45,
1087-1092. [ PubMed]
Cornsweet, T. N., &
Pinsker, H. M. (1965). Luminance discrimination of brief flashes under various
conditions of adaptation. Journal of
Physiology, 175, 294-310. [ PubMed]
Crognale, M. A., Levenson, D.,
Ponganis, P. J., Deegan, J. F., & Jacobs, G. H. (1998). Cone spectral
sensitivity in the harbor seal ( Phoca
vitulina) and implications for color vision.
Canadian Journal of Zoology, 76,
2114-2118.
Curcio, C. A., & Hendrickson,
A. E. (1991). Organization and development of the primate photoreceptor mosaic.
Progress in Retinal Research, 10,
89-120.
Duke-Elder, S. (1958).
System of ophthalmology. Vol. 1. The eye in
evolution. St. Louis: C.V. Mosby Co.
Fox, M. W. (1971). Behavior of the
wolves, dogs, and related canids. London: Jonathan Cape.
Gellerman, L. W. (1933).
Chance orders of alternating stimuli in visual discrimination
experiments . Journal of Genetic Psychology,
42, 206-208.
Griebel, U., & Schmid,
A. (1997). Brightness discrimination
ability in the West Indian manatee ( Trichechus
manatus). Journal of Experimental
Biology, 200, 1587-1592. [ PubMed]
Griebel, U., & Schmid,
A. (2002). Spectral sensitivity and color vision in the bottlenose dolphin
( Tursiops truncatus).
Marine and Freshwater Behaviour and
Physiology, 35, 129-137.
Jacobs, G. H., Deegan, J. F.,
Crognale, M. A., & Fenwick, J. A. (1993). Photopigments of dogs and foxes
and their implications for canid vision.
Visual Neuroscience, 10, 173-180. [ PubMed]
Kemp, C. M., & Jacobson, S. G.
(1992). Rhodopsin levels in the central retinas of normal miniature poodles and
those with progressive rod-cone degeneration.
Experimental Eye Research, 54, 947-956.
[ PubMed]
Koch, S. A., & Rubin, L. R.
(1972). Distribution of cones in the retina of the normal dog.
American Journal of Veterinary Research,
33, 361-363. [ PubMed]
Lehner, P. N. (1978). Coyote
communication. In M. Bekoff (Ed.), Coyotes:
Biology, behavior and management (pp. 128-162). New York: Academic
Press.
Lesiuk, T. P., & Braekevelt,
C. R. (1983). Fine structure of the canine tapetum lucidum.
Journal of Anatomy, 136, 157-164. [ PubMed]
Lloyd, H. G. (1980).
The red fox. London: B.T. Balsford Ltd.
Miller, P. E., & Murphy, C.
J. (1995). Vision in dogs. Journal of the
American Veterinary Medical Association, 207, 1623-1634. [ PubMed]
Murphy, C. J., Mutti, D. O.,
Zadnik, K., & Ver Hoeve, J. (1997). Effect of optical defocus on visual
acuity in dogs. American Journal of Veterinary
Research, 58, 414-418. [ PubMed]
Neitz, J., Geist, T., &
Jacobs, G. (1989). Color vision in the dog.
Visual Neuroscience, 3, 119-125. [ PubMed]
Neuhaus, W., & Regenfuss, E.
(1967). Über die Sehschärfe des Haushundes bei verschiedenen
Helligkeiten. Zeitschrift für
Vergleichende Physiologie, 57, 137-146.
Odom, J. V., Bromberg, N. M., &
Dawson, W. W. (1983). Canine visual acuity: Retinal and cortical field
potentials evoked by pattern stimulation.
American Journal of Physiology, 245,
R637-R641. [ PubMed]
Osterholm, H. (1964). The
significance of distance receptors in the feeding behavior of the fox.
Vulpes vulpes L.
Acta Zoologica Fennica, 106,
3-31.
Orbeli, L. A. (1908). Conditioned
reflexes resulting from optical stimulation of the dog. Dissertation, St.
Petersburg (in Russian).
Parkes, J. H., Aguirre, G.,
Rockes, J. H., & Liebman, P. A. (1982). Progressive rod-cone degeneration in
the dog: Characterization of the visual pigment.
Investigative Ophthalmology and Visual
Science, 23, 674-678. [ PubMed]
Parry, H. B. (1953).
Degeneration of the dog retina. I. Structure and development of the retina of
the normal dog. British Journal of
Opthalmology, 37, 385-404. [ PubMed]
Parry, H. B., Tansley,
K., & Thompson, L. C. (1953). The electroretinogram of the dog.
Journal of Physiology, 120, 28-40. [ PubMed]
Peichl, L. (1991).
Catecholaminergic amacrine cells in the dog and wolf retina.
Visual Neuroscience, 7, 575-587. [ PubMed]
Peichl, L. (1992). Topography
of ganglion cells in the dog and wolf retina.
Journal of Comparative
Neurology,
324, 603-620. [ PubMed]
Rosengreen, A. (1969).
Experiments in color discrimination in dogs.
Acta Zoologica Fennica, 121, 3-19.
Scheibner, H., & Schmidt,
B. (1969). Zum Begriff der spektralen visuellen Empfindlichkeit mit
elektroretinographischen Ergebnissen am Hund.
Albrecht von Graefes Archiv für klinische
und experimentelle Ophthalmologie, 177, 124-135. [ PubMed]
Sherman, S. M., & Wilson, J.
R. (1975). Behavioral and morphological evidence for binocular competition in
the postnatal development of the dog’s visual system.
Journal of Comparative Neurology, 161,
183-195. [ PubMed]
Wadenstein, L. (1956). The
use of flicker electroretinography in the human eye: Observations on clinical
cases. Acta Ophthalmologica, 34,
311-340.
Wells, M. C., & Lehner, P. N.
(1978). The relative importance of the distance senses in coyote predatory
behavior. Animal Behavior, 26,
251-258.
Wen, G. Y., Sturman, J. A., &
Shek, J. W. (1985). A comparative study of the tapetum, retina, and skull of the
ferret, dog, and cat. Laboratory Animal
Science, 35, 200-210. [ PubMed]
Yokoyama, S., & Radlwimmer,
F. B. (1998). The “five-sites” rule and the evolution of red and
green color vision in mammals. Molecular
Biology and Evolution, 15, 560-567. [ PubMed]
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