Perception is something that must be learned. As we recognize things in our environment we gather experience and this experience in turn colours our perception. This is nothing new, of course. But brain researchers are going one step further to ask how different kinds of information are integrated in the brain and what principles govern how perceived objects are represented there. Scientists at Tuebingen's Max Planck Institute for Biological Cybernetics have carried out experiments that prove for the first time that single nerve cells in the brain are responsible for controlling our perception by drawing on prior experience. They report their findings in the latest issue of the journal "nature" (nature, January 17, 2002).
Our perception of objects depends on our prior experience with them. What most people would call a bird is "obviously" a sparrow, sandpiper, or cockatiel for a birdwatcher. Expertise sharpens our ability to notice details. The more we learn about objects and the more familiar they become, the more details we recognize. Thus, we continue to make generalizations, but these generalizations get better and more accurate all the time.
A research group at the Max Planck Institute for Biological Cybernetics has studied what happens in the brain when we familiarize ourselves with objects. To do this they first taught rhesus monkeys to categorize objects according to specific features. Monkeys are ideal subjects for such experiments, for they are able to master a variety of visual categorization tasks and the organization of their visual system is strikingly similar to that of humans.
While the Tübingen monkeys were "working" the scientists observed the activity of neurons in a special area of the brain called the "inferior temporal cortex" (ITC). Today we know that this area is responsible for the recognition of objects. The researchers asked how a special training program for object categorization would affect how these objects are represented in the brain. To do this they showed the monkeys a series of line drawings of faces on a computer monitor. (In another set of experiments the monkeys learned to recognize fish.) The faces consisted of an outline of the head and a total of four variable features: eye height, eye separation, nose length and mouth height. Each of these features could appear in one of three different variants: the nose, for example, could be short, medium or long. The monkeys were trained to distinguish between two different kinds of faces. In one category the eyes were low and widely spaced. In the other category they were high and narrow. Thus, the two features "eye separation" and "eye height" served to define the categories. The other two features, nose length and mouth height, varied randomly and were irrelevant for categorization.
In these tests the Max Planck scientists determined that single neurons in a particular brain region reacted to the two features "eye height" and "eye separation." The activity of these neurons was substantially stronger when these two "relevant" features fit the category in question. The other two features "nose length" and "mouth height" provoked only an indifferent reaction. In other words, these specialized neurons had learned to distinguish between the two categories. Rather than simply representing the presence of a specific object or features, they convey detailed information about the features that are diagnostic for the two categories.
The researchers were also able to show that the monkey brains actually use the features learned in this experiment to recognize objects. After training the animals were able to identify "matching" faces, i.e. faces with similar features.
The Tübingen group concludes that there are apparently single neurons that sharpen our perception when they are trained to respond to categories. By making generalizations our brain is able to encode and interpret what we see around us.
The above post is reprinted from materials provided by Max Planck Society. Note: Materials may be edited for content and length.
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