Activation in the neural network responsible for categorization and recognition reflects parameter changes

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An Introduction to Model-Based Cognitive Neuroscience (2015, methodology): “With maximum likelihood estimation it is convenient to use BIC = D + k× log (n), a Bayes factor approximation, or AIC = D + 2×k (n is the number of data points and k is the number of parameters) [59].”
Memory, reasoning, and categorization: parallels and common mechanisms (2014, methodology): “As a further test of this model Nosofsky et al. (2012) compared categorization responses to a common test set to recognition responses made under either “standard” instructions (emphasizing positive responding only on the basis of identity between old and new items) or “lax” instructions…”