Cargando…
A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors
This paper introduces a new system for dynamic visual recognition that combines bio-inspired hardware with a brain-like spiking neural network. The system is designed to take data from a dynamic vision sensor (DVS) that simulates the functioning of the human retina by producing an address event outp...
Autores principales: | Paulun, Lukas, Wendt, Anne, Kasabov, Nikola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006267/ https://www.ncbi.nlm.nih.gov/pubmed/29946249 http://dx.doi.org/10.3389/fncom.2018.00042 |
Ejemplares similares
-
Localizing Non-Retinotopically Moving Objects
por: Yamada, Yuki, et al.
Publicado: (2013) -
Visually inferring elasticity from the motion trajectory of bouncing cubes
por: Paulun, Vivian C., et al.
Publicado: (2020) -
A theory of moving form perception: Synergy between masking,
perceptual grouping, and motion computation in retinotopic and non-retinotopic
representations
por: Öğmen, Haluk
Publicado: (2008) -
Feedback of pVisual Object Information to Foveal Retinotopic Cortex
por: Williams, Mark A., et al.
Publicado: (2008) -
Time Dilation Induced by Object Motion is Based on Spatiotopic but not Retinotopic Positions
por: Au, Ricky K. C., et al.
Publicado: (2012)