Facial recognition and interpreting facial expressions are specialized functions of a specific part of the brain which processes information about faces.
In her "Face Lab" at Tel Aviv University, Dr. Galit Yovel of TAU's Department of Psychology is trying to understand the mechanisms at work in the face area of the brain called the "fusiform gyrus" of the brain. She is combining cognitive psychology with techniques like brain imaging and electrophysiology to study how the brain processes information about faces. Her most recent research on the brain's face-processing mechanisms appears in the Journal of Neuroscience and Human Brain Mapping.
The study of face recognition does more than provide an explanation for embarrassing memory lapses. For instance, it may help business executives better match names with faces, and more important can lead to better facial recognition software to identify terrorists or criminals. Similar to faces, bodies are also processed by distinct brain areas. How we perceive faces is not totally intuitive, she says, and therefore raises the question of how this information is combined in our brain to understand how separate face and body areas generate a whole body-image impression.
The inability to recognize faces is more common than most people think. Dr. Yovel says that two percent of all people are born with "face blindness," scientifically known as prosopagnosia. She hopes her research will enable these people to train themselves, via software and other methods, to better differentiate one face from another - especially when the face is that of a loved one.
"Faces are important. We meet so many people every day, on the street or at work, and should know whether or not each face is important to us. In principle, faces are very similar to one another. That's probably why we've evolved these complex and specialized face areas in the brain - so that we can more accurately discriminate among the countless faces we encounter throughout our lives," says Dr. Yovel, who first began to study the neurological basis of face recognition as a post-doctoral student at the Massachusetts Institute of Technology.
Dr. Yovel hopes her studies will lead to new algorithms that can help computers do a better job of recognizing faces, as well as help people who somehow lack this critical social skill. She is currently collaborating with computer scientists at Tel Aviv University to explore new computational algorithms for facial recognition.