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One of the much documented problems of Bayesian approaches to cognitive modeling is that there isn't much of a neural grounding. The NEF can be used to compute probabilistic computations with ease (see Chapter 9 of Neural Engineering), however have this been used in a published model before? Are there drawbacks that make merging the NEF with Bayesian modelling methods unfeasible in terms of resources required?

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