Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries

In earlier work, we developed the Selective Attention for Identification Model (SAIM [16]). SAIM models the human ability to perform translation-invariant object identification in multiple object scenes. SAIM suggests that central for this ability is an interaction between parallel competitive proce...

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Detalles Bibliográficos
Autores principales: Heinke, Dietmar, Backhaus, Andreas
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059816/
https://www.ncbi.nlm.nih.gov/pubmed/21475687
http://dx.doi.org/10.1007/s12559-010-9076-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059816/
https://www.ncbi.nlm.nih.gov/pubmed/21475687
http://dx.doi.org/10.1007/s12559-010-9076-x

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