Observations on Cortical Mechanisms for Object Recognition andsLearning

dc.creator	Poggio, Tomaso
dc.creator	Hurlbert, Anya
dc.date	2004-10-20T20:50:04Z
dc.date	2004-10-20T20:50:04Z
dc.date	1993-12-01
dc.date.accessioned	2013-10-09T02:48:35Z
dc.date.available	2013-10-09T02:48:35Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1404
dc.identifier	CBCL-077
dc.identifier	http://hdl.handle.net/1721.1/7217
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on a recent computational model. The view-centered scheme relies on modules for learning from examples, such as Hyperbf-like networks. Such models capture a class of explanations we call Memory-Based Models (MBM) that contains sparse population coding, memory-based recognition, and codebooks of prototypes. Unlike the sigmoidal units of some artificial neural networks, the units of MBMs are consistent with the description of cortical neurons. We describe how an example of MBM may be realized in terms of cortical circuitry and biophysical mechanisms, consistent with psychophysical and physiological data.
dc.format	24 p.
dc.format	272626 bytes
dc.format	1060397 bytes
dc.format	application/octet-stream
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1404
dc.relation	CBCL-077
dc.subject	object recognition
dc.subject	IT cortex
dc.subject	view invariance
dc.title	Observations on Cortical Mechanisms for Object Recognition andsLearning

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