Article

A comparison of distributed machine learning methods for the support of "Many Labs" collaborations in computational modelling of decision making

2021-09-27

Abstract excerpt

<p>Deep learning models, especially RNN models, are potentially powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However this comes at the cost of requiring a larger number of tunable parameters requiring si...

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Literature Corpus work: 0f985746-19b8-55e0-a975-d18cb9410693
DOI: 10.31234/osf.io/ur8kn

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