How the brain recognizes faces. Machine-learning system spontaneously reproduces aspects of human neurology.

Image: MIT News
December 1, 2016

Larry Hardesty | MIT News Office
December 1, 2016

"MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

The researchers designed a machine-learning system that implemented their model, and they trained it to recognize particular faces by feeding it a battery of sample images. They found that the trained system included an intermediate processing step that represented a face’s degree of rotation — say, 45 degrees from center — but not the direction — left or right..."


The Current Biology paper "View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation," by J.Z. Leibo et al, can be found under CBMM Publications, see URL:

Read the full MIT News story at the link below