Show simple item record

Computational Models of Object Recognition in Cortex: A Review

dc.date.accessioned2004-10-20T21:03:32Z
dc.date.accessioned2018-11-24T10:23:26Z
dc.date.available2004-10-20T21:03:32Z
dc.date.available2018-11-24T10:23:26Z
dc.date.issued2000-08-07en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7231
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7231
dc.description.abstractUnderstanding how biological visual systems perform object recognition is one of the ultimate goals in computational neuroscience. Among the biological models of recognition the main distinctions are between feedforward and feedback and between object-centered and view-centered. From a computational viewpoint the different recognition tasks - for instance categorization and identification - are very similar, representing different trade-offs between specificity and invariance. Thus the different tasks do not strictly require different classes of models. The focus of the review is on feedforward, view-based models that are supported by psychophysical and physiological data.en_US
dc.format.extent683319 bytes
dc.format.extent124521 bytes
dc.language.isoen_US
dc.titleComputational Models of Object Recognition in Cortex: A Reviewen_US


Files in this item

FilesSizeFormatView
AIM-1695.pdf124.5Kbapplication/pdfView/Open
AIM-1695.ps683.3Kbapplication/postscriptView/Open

This item appears in the following Collection(s)

Show simple item record