Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons
Animals have evolved sophisticated visual circuits to solve a vital inference problem: detecting whether or not a visual signal corresponds to an object on a collision course. Such events are detected by specific circuits sensitive to visual looming, or objects increasing in size. Various computatio...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2022-01-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/72067 |