Source: Laboratory of Jonathan Flombaum—Johns Hopkins University
In perception, it is often the case that the ability to recognize and interpret complex stimuli feels effortless but actually demands complicated and intensive processing. This is because processing is specialized and automated for certain types of very important stimuli. Among the best examples of this phenomenon is face processing. People do not try to detect and recognize faces. It just seems to happen. However, detecting faces and telling them apart from one another is actually a demanding computational task.
Human facial recognition abilities rely on specialized computations and dedicated brain networks. One simple demonstration of this is the inverted-face effect. Recognizing upside-down faces is far more difficult than recognizing them right-side up, but the same is not true for many other kinds of visual objects. The inverted-face effect is demonstrated in a variety of ways. This video shows an incidental encoding memory paradigm for investigating facial processing and the inverted-face effect.
1. Equipment and Stimuli
2. Design
Figure 1. Methods for an incidental encoding memory paradigm designed to demonstrate the inverted face effect. The experiment has two parts. In the first part, called the incidental-encoding phase, participants observe a set of 40 faces, one by one, and are asked to simply report whether each face is male or female. In the second phase, the participant is given a surprise memory test. In each trial, two faces are shown side-by-side. One of each pair is one of the faces shown in the encoding phase, and the other, called the foil, is a new face, never seen before by the observer. The task is to use the right and left arrow keys to indicate which face in each pair is the one seen previously. Crucially, half the face pairs appear upside-down. The measure of interest is report accuracy for right-side up compared with upside-down faces. Please click here to view a larger version of this figure.
3. Running the Experiment
To analyze the results, simply compute the proportion of faces correctly identified by the participant in trials with upside-down (inverted) and trials with right-side up (upright) faces. Compare performance using a bar graph, as shown in Figure 2. For most visually normal observers, accuracy will be much higher with upright compared to inverted faces. However, this is a difficult task, and you may find performance below 0.9 even for upright faces. For inverted faces, performance may even approach chance, 0.5-what an observer would score if they just guessed on each trial. Poor performance with inverted faces shows that specialized computations and brain mechanisms used for recognizing faces are tuned to take advantage of the fact that faces are almost always experienced in an upright orientation.
Figure 2 Memory accuracy for inverted compared to upright faces. Most visual-normal observers show considerably better performance recalling previously seen faces when shown upright, as opposed to inverted. Indeed, with inverted faces, performance can be close to chance (0.5) in a task like this. Poor performance with inverted faces is the inverted-face effect.
The discovery that inverted faces are difficult to process has many applications. Neuroimaging studies, for example, have taken advantage of the effect to identify brain regions involved in specialized face processing. Brain scans are taken when observers view upright as well as inverted faces. The responses to the two kinds of stimuli are then compared. Both sets of stimuli have very similar visual properties overall, leading to similar activity throughout much of the visual system. In one brain area though, upright faces produce a much more vigorous response than inverted ones, suggesting that inverted faces fail to engage specialized face-processing neurons. The area that responds this way is called the fusiform gyrus, or the fusiform face area (sometimes FFA for short). This brain region is implicated in many other studies that investigate specialized aspects of face processing.
A second application has to do with a disorder known as prosopagnosia. This refers to extreme difficulty recognizing, at times even detecting faces. Prosopagnosia can arise following brain damage to the fusiform gyrus. But it is now known to also appear in people with no known cause of brain damage. One way that prosopagnosia is assessed involves the inverted-face effect. In particular, individuals with prosopagnosia don't show a typical inversion effect. Although they have no more trouble recognizing upside down faces than they do right side up ones, they have considerable trouble with right side up ones in general. This lack of an inverted face effect suggests that prosopagnosia is caused by the absence of specialized face processing systems-the kind that seem to know that faces are usually seen right side up.
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