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posted by martyb on Monday December 05 2016, @04:13PM   Printer-friendly
from the learning-how-we-think dept.

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.

This property wasn't built into the system; it emerged spontaneously from the training process. But it duplicates an experimentally observed feature of the primate face-processing mechanism. The researchers consider this an indication that their system and the brain are doing something similar.


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  • (Score: 1) by Scruffy Beard 2 on Monday December 05 2016, @07:12PM

    by Scruffy Beard 2 (6030) on Monday December 05 2016, @07:12PM (#437317)

    I would say that was a $5 word, except the definition says otherwise;

    I had to look it up [merriam-webster.com].

  • (Score: 0) by Anonymous Coward on Monday December 05 2016, @11:33PM

    by Anonymous Coward on Monday December 05 2016, @11:33PM (#437461)

    Mathematicians and linguists seem to use it often to mean fewest words or symbols. In this case, it means less memory or less combinations.

    Or

    Parsimony: what a Parson pays in alimony ;-)