Using a multi-layer multinomial Bayesian network, we study the interplay between Bayesian inference and natural image learning in relation to receptive field properties of early visual cortex. Keywords—Bayesian inference, natural image learning

the molecular phylogenetic trees of 42 representative samples of malaysian pangasiid were constructed using cytochrome c oxidase subunit i (coi). the topologies resulting from molecular analyses, maximum parsimony, maximum likelihood, and bayesian inference, revealed the paraphyly of pangasius genus and monophyly of p. nasutus, p. bocourti, p. micronemus, and p. hypopthalmus with high support v...

Bayesian data analysis includes but is not limited to Bayesian inference (Gelman et al., 2003; Kerman, 2006a). Here, we take Bayesian inference to refer to posterior inference (typically, the simulation of random draws from the posterior distribution) given a fixed model and data. Bayesian data analysis takes Bayesian inference as a starting point but also includes fitting a model to different ...

According to a growing trend in theoretical neuroscience, the human perceptual system is akin to a Bayesian machine. The aim of this article is to clearly articulate the claims that perception can be considered Bayesian inference and that the brain can be considered a Bayesian machine, some of the epistemological challenges to these claims; and some of the implications of these claims. We addre...