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Description
Figure 3.7 Visual Pathways
Source: Garrett, Brain and Behavior, 5e, 2018, SAGE Publications, Inc.
The Visual Cortex
Once information from the ganglion cells reaches the visual cortex, it is processed by feature detectors—neurons that are sensitive only to certain aspects of a visual image, such as lines or angles. This aspect of vision was first revealed by David Hubel and Torsten Wiesel (1962), who implanted microelectrodes in the visual cortexes of cats (and later monkeys). They projected different types of visual stimuli on a screen, and measured the electrical activity of single cells (illustrated in Figure
3.8). Do different neurons specialize in certain types of information? If neuronal
specialization was the case, then the goal was to map or “decode” the visual cortex.
feature detectors. Neurons in the visual cortex that respond to specific aspects of a visual stimulus (such as lines or angles).
Description
Figure 3.8 Hubel and Wiesel’s Apparatus
Monica Wierzbicki/Body Scientific Intl.
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In a painstaking series of studies, Hubel and Wiesel (1979) discovered that three types of neurons service the visual cortex and that each type has its own specialists at work. Simple cells are activated by highly particular images. For example, some simple cells fire in response to a vertical line in the middle of the screen but not to a line that is off-center or tilted at a different angle. Other simple cells fire in response to horizontal lines, wider lines, or lines tilted at a 45-degree angle. The stimulus­response connection is that specific. Complex cells receive input from many simple cells. Although complex cells specialize in certain types of images, they react to those images anywhere in the visual receptive field—center, bottom, side, and so on. Finally, hypercomplex cells receive input from complex cells and respond to stimulus patterns. If one simple cell is activated by /, a second by \, and a third by -, the hypercomplex cell might react to a combination of these features, as in the letter A. When you consider the complexity of words, faces, landscapes, three-dimensional objects, skylines, and other images that enrich our lives, it is no wonder that the visual cortex is packed tightly with more than 100 million neurons.
In 1981, Hubel and Wiesel were awarded a Nobel Prize for their work. In the years since their discovery of feature detectors in the visual cortex, others have identified neurons that fire primarily in response to highly specific features such as color, form, movement, navigation, and the depth of a visual stimulus (Hubel, 1996; Killian, Jutras, & Buffalo, 2012; Livingstone & Hubel, 1988).
Color Vision
Ruby-red apples. Lush green grass. Although some animals see the world in pale shades (including the bull, which is supposedly enraged by the sight of a matador’s bright-red cape), all mammals have some form of color vision (Jacobs, 1993). For us humans, color is a particularly vital part of the visual experience and is also linked in interesting ways to emotion. Thus, sadness feels blue, anger makes us see red, death is mourned in black, and jealousy brings a visit from the green-eyed monster. Color perception even varies by gender. Abramov and colleagues (2012) and Murray and colleagues (2012), for example, both found that females are generally better than males at discriminating between various shades of colors.
In general, individual differences in color discrimination can exist because color is a property of the viewer, not the object. “The dress that broke the Internet” is a good example of this. On February 26, 2015, the dress in the accompanying photo stirred much controversy and was viewed more than 28 million times within 24 hours. Some viewers perceived the dress as blue and black, while others perceived the dress as white and gold. The debate became a phenomenon—to the extent that Ellen DeGeneres posted on Instagram, “From this day on, the world will be divided into two people: blue and black, or white and gold” (as cited by Weintraub, 2018). Years later, the debate has been settled—it is a blue and black dress. Neal Adams, an ophthalmologist, was asked about the optical illusion that caused some people to perceive it as white and gold. His explanation attributed the difference in perception to how light strikes the retina. “If light skews in one direction, a color looks blue-black. In another, it looks yellow-white” (Weintraub, 2018). What can skew the light coming toward the retina? Issues with the eye, like cataracts and aging of the lens; amber­hued glasses; the hue of the light in the store where the photo was taken; and the screen the image is displayed on can result in this illusion. What about color vision that isn’t affected by such an illusion? The rose perceived as red is a good example. When sunlight shines on a red rose, only the long red rays in the spectrum are reflected into our eyes. All other wavelengths are absorbed in the flower’s surface. (If no wavelengths were absorbed, then the rose would appear white.) Ironically, then, the rose holds everything but red. Most people can discriminate among 200 different colors and thousands of different shades. How do we do it? There are two major theories of color vision: the trichromatic theory and the opponent-process theory (Jacobs, 2014; Kaiser & Boynton, 1996; Lennie, 2000).
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What colors of fabric do you see when you look at this dress? For a few days in 2015, people were divided over that question. The division highlighted an important lesson in perception—color is created in our brains.
picture alliance / Contributor / Getty
Early in the 19th century, physiologists Thomas Young (1802) and Hermann von Helmholtz (1852) argued that the human eye is receptive to three primary colors— red, blue, and green—and that all other colors are derived from combinations of these primaries. By recording the neural responses of individual cones to different wavelengths of light, 20th-century researchers later confirmed the Young-Helmholtz
trichromatic theory (Schnapf, Kraft, & Baylor, 1987; Wald, 1964). Specifically, there
are three types of cones, each having a different photochemical that produces a particular response to light. One type fires most when struck by short wavelengths, so it picks up the color blue. The second type is most sensitive to the middle wavelengths, for the color green. The third type is most sensitive to long wavelengths, for the color red. In short, blue cones, green cones, and red cones serve as the building blocks for color vision. The different combinations of cones produce other colors in the eye’s “palette.” Activate both red and green cones, for example, and you will see the color yellow. Activate all three types of cones, and white is produced (illustrated in Figure 3.9).
trichromatic theory. A theory of color vision stating that the retina contains three types of color receptors—for red, blue, and green—and that these combine to produce all other colors.
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Description
Figure 3.9 Trichromatic Theory
German physiologist Ewald Hering (1878) was not completely satisfied with the trichromatic theory. As he saw it, yellow was a primary color, not a derivative of red and green. He also noticed that certain color combinations just do not seem to exist. A mix of red and blue gives rise to varying shades of purple, but what is reddish green? Another puzzling phenomenon that didn’t fit was the occurrence of negative
afterimages, sensations that persist after prolonged exposure to a stimulus.
afterimage. A visual sensation that persists after prolonged exposure to and
removal of a stimulus.
TRY THIS!
Afterimages
To observe the formation of an afterimage, TRY THIS: At the center of the accompanying image is a small white dot. Stare at it for 60 seconds with minimal blinking, and then look at a white sheet of paper or a white wall. According to the opponent-process theory, a negative afterimage should appear that converts into the face of a celebrity. If an afterimage doesn’t appear right away, blink and look again.
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Source: Via Wikimedia Commons, Afterimage by Dimitri Parant, concentrate 30 seconds on the white dot and close your eyes 10 seconds. 2009, Flickr.
Putting the pieces together, Hering proposed the opponent-process theory of color vision. According to this theory, there are three types of visual receptors, and each is sensitive to a pair of complementary or “opponent” colors. One type reacts to the colors blue and yellow, a second type detects red and green, and a third type detects variations in brightness ranging from black to white. The color wheel in Figure
3.10 illustrates how these primary colors and their “companions” line up on nearly
opposite sides of the circle. Within each pair of red-green, blue-yellow, and black­white receptors, some parts fire more to one color whereas other parts react to its opposite. That is why we never see bluish yellow or reddish green, but we might see bluish green and reddish yellow. While seeing one color at a specific spot on the retina, you cannot also see its opposite on the same spot (Conway, 2002, 2013; Jacobs, 2014).
opponent-process theory. The theory that color vision is derived from three pairs of opposing receptors. The opponent colors are blue and yellow, red and green, and black and white.
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Description
Figure 3.10 The Color Wheel
Source: Garrett, Brain and Behavior, 5e, 2018, SAGE Publications, Inc
The opponent-process theory can explain two aspects of color vision that its predecessor theory could not. First, it explains afterimages. Think about what you saw when you completed the Try This! exercise. Staring at the blue areas of Beyoncé’s altered image causes the blue-seeing cells to fire. Then, when the blue color is removed from view, these parts of the cells become temporarily fatigued, leaving only the yellow parts to fire normally (Vimal, Pokorny, & Smith, 1987). This process tips the neural balance to yellow, which produces a brief “rebound” effect (staring at green and black triggers a similar rebounding of red and white, respectively).
Second, opponent-process theory can explain color deficiency, usually a genetic disorder. In actuality, only about 1 in 100,000 people are color “blind,” seeing the world in only black, white, and shades of gray (Nathans, 1989). Rather, color-deficient people tend to confuse certain colors. The most common problem, particularly among 2 percent of men (Álvaro, Moreira, Lillo, & Franklin, 2015), is red-green color deficiency, which is an inability to distinguish between red and green because both appear gray (illustrated in Figure 3.11). Though very rare, a second form of color deficiency is the inability to distinguish between—you guessed it—blue and yellow.
Figure 3.11 Test of Color Deficiency
Album / Alamy Stock Photo
PRISMA ARCHIVO / Alamy Stock Photo
For many years, researchers debated the relative merits of the trichromatic and opponent-process theories of color vision. As often happens in either-or debates, it
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now appears that both theories are correct—and that the way people sense color is a two-step process. According to this view, the human retina contains red, blue, and green cones, as suggested by the trichromatic theory. But in the thalamus—where these signals are sent en route to the visual cortex—single-cell recordings reveal that the neurons operate in accordance with the opponent-process theory. That is, some cells are excited by red and inhibited by green, and vice versa. Other cells react to blue and yellow. Color vision is complex and still not fully understood (Conway, 2013; Jacobs, 2014; Simunovic, 2016).
This is how these colored displays look to persons with (a) red-green color deficiency calledprotanopia, (b) a second form of red-green color deficiency calleddeuteranopia, and (c) blue-yellow color deficiency called tritanopia.
LEARNING CHECK
The Eyes Have It
Below are parts of the visual system, listed alphabetically. Rearrange them in the order in which they process visual input, starting with the first part of the eye to receive light and ending with the part of the brain that processes visual information.
(Answer: cornea, iris, pupil, lens, vitreous humor, retina, optic nerve, optic chiasm, thalamus, visual cortex.)
Hearing
If you had to lose your sense of either sight or sound, which would you choose? It is easy to take the sounds of everyday life for granted—and, indeed, we often say that “silence is golden.” But auditory sensations surround us and inform us: the chatter of voices, music throbbing from stereo speakers, the trickling of water over pebbles, the crunching of potato chips, the hum of a fluorescent lamp, the crack of a wooden bat against a baseball, the clinking of champagne glasses on New Year’s Eve, the screeching of brakes, and the chime of an incoming text message. In fact, we are so dependent on noise that U.S. regulators are requiring electric cars to make sounds when traveling at speeds over 18.6 miles per hour (Matousek, 2018). If you aren’t sure why this is so important, think about trying to cross the street with nothing but your auditory senses to rely on. But what is sound, and how do we hear it?
Sound Waves
Every sensation is born of energy. For vision, or seeing, the stimulus is light. For
audition, or hearing, the stimulus is sound. As in light, sound travels in waves.
Physically, sound is vibration, a pattern of rapid wavelike movement of air molecules. First, something has to move—an engine, vocal cords, violin strings, or clapping hands. The movement jolts the surrounding molecules of air, and these collide with other air molecules. Like the ocean, sound ripples in waves that ebb and flow in all directions. It loses energy from one ripple to the next, however, which is the reason sound fades at a distance. Sound travels through air at 750 miles per hour—much
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slower than the speed of light, which is 186,000 miles per second. That is why, in thunderstorms, you see lightning before you hear the accompanying thunder.
audition. The sense of hearing.
Like light, sound waves can be distinguished by three major properties, as summarized in Table 3.2. The first is wavelength, or frequency. As molecules of air push outward from a source, they expand and compress in cycles. Frequency, measured by the number of cycles completed per second, is expressed as hertz (Hz). One cycle per second equals 1 Hz. Subjectively, the frequency of a sound wave determines its pitch (the highness or lowness of a sound). The higher the frequency, the higher the pitch. In May 2018, pitch became a popular Google search thanks to the “Yanny vs. Laurel debate.” A viral tweet by YouTube personality Cloe Feldman played an audio track that divided listeners into two camps; people heard either “Yanny” or “Laurel” (Gutman, 2018). To demonstrate that all listeners could hear both names with a simple adjustment to pitch, software developer Steve Pomeroy created an audio file posted on SoundCloud (Gutman, 2018). When the pitch dropped by 30 percent, listeners most likely heard “Laurel.” When the pitch raised by 30 percent, the listeners most likely heard “Yanny.” Thus, the apparatus we use to play an audio file can make all the difference. This is why sound engineers and headphone settings have so much influence on what we hear.
Table 3.2
Humans can hear frequencies ranging from about 20 Hz to 20,000 Hz—in music, the equivalent of almost 10 octaves. Homing pigeons and elephants can hear lower frequencies. Bats, dogs, and dolphins hear at higher frequencies (dogs can hear at 50,000 Hz, which is why a “silent” dog whistle is not silent to a dog). Most of the sounds we need to hear, and certainly those we enjoy hearing, are well within this range. The lowest note on a piano is 27.5 Hz, the highest note is 4,180 Hz, and the voices of conversation range from 200 to 800 Hz. When all frequencies of the sound spectrum are combined, they produce a hissing sound. This hissing is called white
noise—named by analogy to the white light that results from the combination of all
wavelengths in the visible light spectrum.
white noise. A hissing sound that results from a combination of all frequencies of the sound spectrum.
The second property of sound is amplitude. Amplitude refers to the intensity, or height, of each sound wave. In physical terms, the amplitude of a wave determines its loudness. The greater the amplitude, the louder the sound. We may not be able to hear a pin drop, but our ears are responsive to a remarkably wide range of amplitudes. For variations within this range, amplitude is measured in decibels (dB).
Figure 3.12 provides examples of the loudness of various sounds at different dB
levels. You will see that dB levels over 120 are painful and can cause permanent damage to the ears (Kryter, 1994).
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Description
Figure 3.12 Common Sounds and the Amounts of Noise They Produce, in Decibels
A third property of sound is purity, or complexity. Strike a tuning fork, and you will produce something rare: a pure tone consisting of a single frequency of vibration. In reality, most sounds are complex mixtures of waves of different frequencies. Speech, music, a ringing bell, and a breaking window are familiar examples (Bregman, 1990; Krumhansl, 1991). The complexity of a sound determines its timbre, or tonal quality. Play the same note at the same loudness on a piano, trumpet, saxophone, tuba, and violin, and what you will hear are differences in timbre.
The Auditory System
Philosophers like to ponder the age-old question, “If a tree falls in a forest, but no one is around to hear it, does it make a sound?” This really is a profound question. We know that the fall of a tree sends waves of molecules blasting through the air, but we also know that without an auditory system to catch these molecules—well, you make the call. As in vision, hearing requires that energy be detected, converted into neural impulses, and relayed to the brain. As shown in Figure 3.13, this complex process begins in the three-part (outer, middle, and inner) structure of the human ear.
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Description
Figure 3.13 The Human Ear
Sound waves are collected in the outer ear, beginning with the fleshy pinna. Some animals, such as dogs, cats, and deer, can wiggle this structure like a radar dish to maximize the reception of sound (humans cannot). Research shows that the folds of the pinna enable people to pinpoint the location of sounds—for example, whether they come from above us or below, in front or behind. The sound waves are then funneled through the auditory canal to the eardrum, a tightly stretched membrane that separates the outer and middle portions of the ear. The eardrum vibrates back and forth to the waves, thereby setting into motion a series of tiny connecting bones in the middle ear—the hammer, the anvil, and the stirrup (for you trivia buffs, these are the three smallest bones in the body). This middle-ear activity amplifies sound by a factor of 30. The last of these bones, the stirrup, then vibrates against a soft inner-ear membrane called the oval window. This vibration is transmitted to the fluid that fills the canals of the cochlea, a snail-shape tube—and the resulting motion presses up against the basilar membrane, which brushes up against an array of 16,000 sensitive hair cells. These hair cells bend, exciting fibers in the auditory nerve—a bundle of axons that link to auditory centers of the brain. Also in the inner ear are semicircular canals, which, as we will see later, play a critical role in balance (Hudspeth, 2000; Phillips et al., 2015).
To summarize, the “plumbing” and “wiring” that turn sound waves into meaningful input are fairly intricate. Sound waves collected in the outer ear are transmitted into a salt-watery fluid and then transformed into electrical impulses in the inner ear. From the auditory nerve, signals then cross to the other side of the brain. Next, they get routed to the thalamus, where the medial geniculate body transforms the signals en route to the auditory cortex (Bartlett, 2013) to assist with frequency discrimination. Once there, the signals are processed by cells that specialize in high, middle, or low frequencies of sound (Leaver & Rauschecker, 2016).
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