How Brain Interprets Natural Scenes: Carnegie Mellon Theory Of Visual Computation
Computational neuroscientists at Carnegie Mellon University have developed a computational model that provides insight into the function of the brain's visual cortex and the information processing that enables people to perceive contours and surfaces, and understand what they see in the world around them. A type of visual neuron known as simple cells can detect lines, or edges, but the computation they perform is insufficient to make sense of natural scenes, said Michael S.
How Brain Interprets Natural Scenes: Carnegie Mellon Theory Of Visual Computation
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