Artificial neural networks for model identification and parameter estimation in computational cognitive models
Milena Rmus,
Ti-Fen Pan,
Liyu Xia
et al.
Abstract:Computational cognitive models have been used extensively to formalize cognitive processes. Model parameters offer a simple way to quantify individual differences in how humans process information. Similarly, model comparison allows researchers to identify which theories, embedded in different models, provide the best accounts of the data. Cognitive modeling uses statistical tools to quantitatively relate models to data that often rely on computing/estimating the likelihood of the data under the model. However… Show more
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