Scientists Decipher the Neural Code For Faces

New submitter akakaak writes: In a new paper published in Cell, researchers Le Chang and Doris Tsao claim to have uncovered “The Code for Facial Identity in the Primate Brain.” They develop a model representing each face as a vector in a 50-dimensional “face-space,” and show that the firing rate for each face-sensitive neuron represents the location along a single axis through this space. This allows them to accurately predict the appearance of a viewed face from the collective recorded activity of the neurons. This work is a major advance in the decoding of complex neural representations, and refutes exemplar-based models of face recognition. Further reading: Scientific American


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