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Published in:
2010 | OriginalPaper | Chapter
Bayesian Interpretation of Border-Ownership Signals in Early Visual Cortex
Author : Haruo Hosoya
Published in: Neural Information Processing. Theory and Algorithms
Publisher: Springer Berlin Heidelberg
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Mammalian visual cortex is known to have various neuronal response properties that depend on stimuli outside classical receptive fields. In this article, we give a probabilistic explanation to one such property called border-ownership signals, by interpreting them as posterior joint probabilities of a low-level edge property and a high-level figure property. We show that such joint probabilities can be found in a hierarchical Bayesian network mimicking visual cortex, and indeed they exhibit simulational responses qualitatively similar to physiological data.