Optimizing Experimental Design for Comparing Models of Brain Function
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DOI: 10.1371/journal.pcbi.1002280
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References listed on IDEAS
- Will D Penny & Klaas E Stephan & Jean Daunizeau & Maria J Rosa & Karl J Friston & Thomas M Schofield & Alex P Leff, 2010. "Comparing Families of Dynamic Causal Models," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-14, March.
- Jean Daunizeau & Hanneke E M den Ouden & Matthias Pessiglione & Stefan J Kiebel & Klaas E Stephan & Karl J Friston, 2010. "Observing the Observer (I): Meta-Bayesian Models of Learning and Decision-Making," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-10, December.
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Cited by:
- Jean Daunizeau & Vincent Adam & Lionel Rigoux, 2014. "VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data," PLOS Computational Biology, Public Library of Science, vol. 10(1), pages 1-16, January.
- Marie Devaine & Jean Daunizeau, 2017. "Learning about and from others' prudence, impatience or laziness: The computational bases of attitude alignment," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-28, March.
- Alizée Lopez-Persem & Lionel Rigoux & Sacha Bourgeois-Gironde & Jean Daunizeau & Mathias Pessiglione, 2017. "Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-18, November.
- Filip Melinscak & Dominik R Bach, 2020. "Computational optimization of associative learning experiments," PLOS Computational Biology, Public Library of Science, vol. 16(1), pages 1-23, January.
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