Communications of the ACM
How the Brain Recognizes What the Eye Sees
Salk Institute researchers have analyzed how neurons in a critical part of the brain respond to natural scenes, providing a better understanding of vision processing.
Credit: Salk Institute
Salk Institute researchers have analyzed how neurons in the V2 section of the brain respond to natural scenes, providing a better understanding of human vision processing that could improve self-driving cars and sensory impairment therapies.
The researchers developed a statistical method that takes complex responses to visual stimulation in the brain and describes them in interpretable ways, which could be used to help decode vision for computer-simulated vision.
The researchers developed the model using publicly available data showing brain responses of primates watching movies of natural scenes.
The team found V2 neurons process visual information according to three principles, including combining edges that have similar orientations, and boosting robustness of perception to small changes in the position of curves forming object boundaries.
If a neuron is activated by an edge of a particular orientation and position, the orientation 90 degrees from that will be suppressive at the same location.
Finally, relevant patterns are repeated in space in ways that can help perceived textured surfaces and boundaries between them.
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