Neuroscientists Reveal How the Brain Learns to Recognize Objects Understanding how the brain recognizes objects is a central challenge for understanding human vision, and for designing artificial vision systems. (No computer system comes close to human vision.) A new study by MIT neuroscientists suggests that the brain learns to solve the problem of object recognition through its vast experience in the natural world. Take for example, a dog. It may be sitting nearby or far away or standing in sunshine or shadow. Although each variation in the dogs position, pose or illumination produces a different pattern of light on the retina, we still recognize it as a dog. One possible way to acquire this ability to recognize an object, despite these variations, is through a simple form of learning. Objects in the real world usually dont suddenly change their identity, so any two patterns appearing on the retina in rapid succession likely arise from the same object. Any difference between the two patterns probably means the object has changed its position rather than having been replaced by another object. So by simply learning to associate images that appear in rapid succession, the brain might learn to recognize objects even if viewed from different angles, distances, or lighting conditions.
Posted on: Thu, 16 Jan 2014 06:25:21 +0000
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