Neural network necessary for 'normal face' recognition

The research group focused on the phenomenon of becoming markedly-difficult to recognize a face that is presented upside-down (such as so-called "Thatcher illusion"). The group investigated the neural network in the brain during face recognition by using fMRI. Accordingly, they found that when faces were shown upright, the brain area responsible for object recognition was suppressed by the area responsible for face recognition. In contrast, when faces were inverted, the object recognition area was not suppressed by the face recognition area and the brain is in a state of "being clearly not sure if it is a face or an object." In addition, mathematical simulation revealed that neural networks between the multiple areas in the brain are necessarily for "normal face" recognition.

Prof. Ryusuke Kakigi says, "In this research, we have found that not only brain areas that execute face recognition but also brain areas that had been considered non-essential to face recognition are important for "normal face" recognition. It could be that disorders of face recognition such as developmental prosopagnosia may be attributable to the brain networks."