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dc.creator Riesenhuber, Maximilian
dc.creator Poggio, Tomaso
dc.date 2004-10-20T21:03:32Z
dc.date 2004-10-20T21:03:32Z
dc.date 2000-08-07
dc.date.accessioned 2013-10-09T02:48:37Z
dc.date.available 2013-10-09T02:48:37Z
dc.date.issued 2013-10-09
dc.identifier AIM-1695
dc.identifier CBCL-190
dc.identifier http://hdl.handle.net/1721.1/7231
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Understanding 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.
dc.format 683319 bytes
dc.format 124521 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-1695
dc.relation CBCL-190
dc.title Computational Models of Object Recognition in Cortex: A Review


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