… Our analysis reveals that in a simple perceptual decision-making task, human subjects rely
more strongly on context-specific knowledge when their belief about the current context is …

… We have abstracted from this perspective and have embedded a pure attractor model in
a dynamic Bayesian inference framework. Consequently, the question arises how this …

… of single neurons, investigations of dynamic Bayesian inference should attempt to … Bayesian
theory has been used to model perception in a variety of circumstances. In these perceptual …

… how subjects might compute their decision and confidence variables. Finally, we describe
the Bayesian inference technique used to fit the parameters and find the most probable model. …

… Starting from the old idea of perception as probabilistic inference, we show how to use …
cognitive components into physiologically testable models of perceptual decision-making. …

… However, while this was previously incorporated into the inference dynamics explicitly,
we find that the same sort of decay emerges naturally from a generative model that entails …

… In summary, a dynamic Bayesian ideal observer uses a hierarchical … Our analysis reveals
that in a simple perceptual decision-making task, human subjects rely more strongly on context-…

… In the following paragraphs, we briefly summarize aspects of their analysis that directly
relate to decision-making dynamics. (For those interested in details, we recommend the article.) …

… the Bayesian inference … the Bayesian model directly leads to equivalent results. Finally,
we consider three different potential implementations of how the Bayesian perceptual decision …

… dynamically combines them via bottom-up, top-down, and lateral connections for causal and
perceptual inference. … for spatial perception consistent with Bayesian causal inference, we …