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Hierarchical Models of Object Recognition in Cortex (1999)
| Citations: | 825 - 79 self |
BibTeX
@MISC{Riesenhuber99hierarchicalmodels,
author = {Maximilian Riesenhuber and Tomaso Poggio},
title = {Hierarchical Models of Object Recognition in Cortex},
year = {1999}
}
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Abstract
The classical model of visual processing in cortex is a hierarchy of increasingly sophisticated representations, extending in a natural way the model of simple to complex cells of Hubel and Wiesel. Somewhat surprisingly, little quantitative modeling has been done in the last 15 years to explore the biological feasibility of this class of models to explain higher level visual processing, such as object recognition. We describe a new hierarchical model that accounts well for this complex visual task, is consistent with several recent physiological experiments in inferotemporal cortex and makes testable predictions. The model is based on a novel MAX-like operation on the inputs to certain cortical neurons which may have a general role in cortical function.
Keyphrases
object recognition hierarchical model certain cortical neuron classical model complex cell biological feasibility testable prediction visual processing level visual processing inferotemporal cortex sophisticated representation little quantitative modeling new hierarchical model several recent physiological experiment novel max-like operation cortical function general role complex visual task natural way
