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A directionally selective collision-sensing visual neural network based on fractional-order differential operator
In this paper, we propose a directionally selective fractional-order lobular giant motion detector (LGMD) visual neural network. Unlike most collision-sensing network models based on LGMDs, our model can not only sense collision threats but also obtain the motion direction of the collision object. F...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160397/ https://www.ncbi.nlm.nih.gov/pubmed/37152416 http://dx.doi.org/10.3389/fnbot.2023.1149675 |