How the Brain Sees Faces Is No Longer A Mystery

A study by researchers from the California Institute of Technology (CIT) is allegedly the first to provide a full and simple explanation of how this process works, and they started by examining how the brain recognizes human faces. “We’ve cracked the brain’s code for facial identity,” said author Doris Tsao. Their study, published in the journal Cell, looked at face-recognition function in the brains of macaque monkeys.

 

They identified individual brain cells that work together to create an infinite range of facial images by encoding 50 different dimensions of a face, such as its shape, the size of and distances between eyes, skin texture, and other features. By inserting electrodes into three patches of these so-called “face cells” in the brains of the macaques, Tsao and colleague Steven Le Chang were able to record the activity of 205 neurons.

Free Monthly Newsletter

Compelling read? Subscribe to FierceEmbeddedTech!

The embedded tech sector runs the market’s trends. FierceEmbeddedTech subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Sign up today to get news and updates delivered to your inbox and read on the go.

 

By showing 2,000 images of human faces to the macaques, they discovered that each face cell’s view of the face was different, but when combined, a clear composite image was produced. In order to see what these monkeys saw, the researchers developed an algorithm that tracked the face cell feedback in their brains.

 

This discovery could extend to research into how the brain retains memories of facial images and associates these with specific individuals. Previous work by researchers from the Allen Institute for Brain Science have identified individual cells in the hippocampus, the brain’s memory center, responsible for remembering the faces of people..

 

The study could also provide insight into how the brain forms other images, too: “Our work suggests that other objects could be encoded by analogous metric coordinate systems,” the authors wrote.

 

http://authors.library.caltech.edu/55744/

Suggested Articles

The technology and business issues of hybrid and electric vehicles will be open for debate at the Electric and Hybrid Vehicle Technology Expo and Battery Show…

HCC Embedded (HCC) has unveiled SafeexFAT, a failsafe RTOS-independent exFAT file system implementation for deeply embedded applications. The system is…

General Motors has decided to team with Google to integrate more of that platform’s features into future vehicle infotainment systems.