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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849349/ https://www.ncbi.nlm.nih.gov/pubmed/35023828 http://dx.doi.org/10.7554/eLife.72067 |