Real-time classification and sensor fusion with a spiking deep belief network

Deep Belief Networks (DBNs) have recently shown impressive performance on a broad range of classification problems. Their generative properties allow better understanding of the performance, and provide a simpler solution for sensor fusion tasks. However, because of their inherent need for feedback...

Descripción completa

Detalles Bibliográficos
Autores principales: O'Connor, Peter, Neil, Daniel, Liu, Shih-Chii, Delbruck, Tobi, Pfeiffer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792559/
https://www.ncbi.nlm.nih.gov/pubmed/24115919
http://dx.doi.org/10.3389/fnins.2013.00178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792559/
https://www.ncbi.nlm.nih.gov/pubmed/24115919
http://dx.doi.org/10.3389/fnins.2013.00178

Ejemplares similares