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Observations on Cortical Mechanisms for Object Recognition andsLearning

dc.date.accessioned2004-10-20T20:50:04Z
dc.date.accessioned2018-11-24T10:23:24Z
dc.date.available2004-10-20T20:50:04Z
dc.date.available2018-11-24T10:23:24Z
dc.date.issued1993-12-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7217
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7217
dc.description.abstractThis 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.en_US
dc.format.extent24 p.en_US
dc.format.extent272626 bytes
dc.format.extent1060397 bytes
dc.language.isoen_US
dc.subjectobject recognitionen_US
dc.subjectIT cortexen_US
dc.subjectview invarianceen_US
dc.titleObservations on Cortical Mechanisms for Object Recognition andsLearningen_US


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