A cortical model of object perception based on Bayesian networks and belief propagation.

S. Dura-Bernal · 2011

Summary

A Bayesian network that captures Ihe structure and properties of Ihe HMAX model is developed, replacing ihe classical deterministic view with a probabilistic inierpreiation and provides a biophysiologically plausible interpretation of the interaction between lop-down global feedback and bottom-up local evidence in the context of hierarchical object perception.

Published: 2011-01-01
Cited by: 0
References: 193
Semantic Scholar: https://api.semanticscholar.org/CorpusID:142675476

References

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