A neural computational model for bottom-up attention with invariant and overcomplete representation

BACKGROUND: An important problem in selective attention is determining the ways the primary visual cortex contributes to the encoding of bottom-up saliency and the types of neural computation that are effective to model this process. To address this problem, we constructed a two-layered network that...

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Detalles Bibliográficos
Autores principales: Qi, Zou, Songnian, Zhao, Zhe, Wang, Yaping, Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599588/
https://www.ncbi.nlm.nih.gov/pubmed/23190754
http://dx.doi.org/10.1186/1471-2202-13-145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599588/
https://www.ncbi.nlm.nih.gov/pubmed/23190754
http://dx.doi.org/10.1186/1471-2202-13-145

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