"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: https://cbmm.mit.edu/news-events/news/how-brain-recognizes-faces-machine-learning-system-spontaneously-reproduces-aspects

Read the full MIT News story at the link below