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Recent advancements in Bayesian modeling have allowed for likelihood-free posterior estimation. Such estimation techniques are crucial to the understanding of simulation-based models, whose likelihood functions may be difficult or even impossible to derive. One particular class of simulation-based models that have not yet benefited from the progression of Bayesian methods is the class of neurologically-plausible...
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