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There is currently a lot of debate surrounding what questions Bayesian modeling is appropriate for answering within cognitive science, as well what makes a "poor model." Unfortunately these become extremely thorny issues very quickly, partly because what is called "bayesian modeling" actually refers to a rather heterogeneous set of approaches and ...

Your question is predicated on the assumption that Bayesian modeling has been successful in all domains. I think this is a stance that many (except hardened Bayesians) would disagree with. For instance, consider the classic Tversky & Shafir experiments on the violation of the sure thing principle: What are popular rationalist responses to Tversky & ...

Quantitative papers There are a number of papers that didn't use a Bayesian approach but provide a relevant basis for developing quantitative Bayesian models: Zickar et al (2004) performed a mixed-model using item response theory to examine different classes of respondents to personality tests. While it doesn't appear to be a Bayesian analysis, it is an ...

I think you are doing the computation correctly, but Gigerenzer and Blank did not provide us with the full results of their experiment, preventing us from repeating their computations exactly: The data provided in columns 1 and 2 of the table are only the averages. The data in column 4 (Bayesian) is not a transformation of the average value using some ...

To what degree can the brain move resources from the "what" to the "when" to achieve a precise level of timing for conversion between sensory and motor output? I think that you may be making a false assumption here. I don't think that the 'what' and the 'when' are in competition for resources. According to Arnal and Giraud (and many others), having a valid ...

@CHCH has provided a good broad overview, but I thought I would also append some specific experiments that are considered to be a weakness of Bayesian models. The whole theme of this answer is an extension of Tversky and Kahneman's program of rationality-violation. All of these experiments can be fitted by some Bayesian-ish just-so model of the sort Bowers ...

In a paper published recently (actually, today) by myself and my 2 advisers, we analyze results of an auditory perceptual discrimination task, and show that the Bayesian model can be used to explain some aspects of behaviour, but not others. We provide a simple heuristic model that accounts for a wider range of phenomena in that task, such as the imperfect ...