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Peer Reviewed Journal Articles

In Press

  • Gaut, G., Li, X., Turner, B. M., Cunningham, W. A., Lu, Z. L., and Steyvers, M. (in press). Predicting Task and Subject Differences with Functional Connectivity and BOLD Variability. In press at Brain Connectivity.
  • Turner, B. M. (in press). Toward a common representational framework for adaptation. In press at Psychological Review.
  • Turner, B. M., McClelland, J. L., and Busemeyer, J. (in press). Bayesian statistics to assess Bayesian optimality. In press at Behavioral and Brain Sciences.
  • Turner, B. M., Palestro, J. J., Miletic, S., and Forstmann, B. U. (in press). Advances in techniques for imposing reciprocity in brain-behavior relations. In press at Neuroscience and Biobehavioral Reviews.

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Books

  • Turner, B. M., Forstmann, B. U., and Steyvers, M. (2019). Joint models of neural and behavioral data. Springer: New York.
  • Palestro, J. J., Sederberg, P. B., Osth, A. F., Van Zandt, T., and Turner, B. M. (2018). Likelihood-free Bayesian inference in cognitive science. Springer: New York.

Book Chapters

  • Ly, A., Boehm, U., Heathcote, A., Turner, B. M., Forstmann, B., Marsman, M., & Matzke, D. (2017). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior. (pp. 467-480). Wiley Blackwell.
  • Turner, B. M. (2015). Constraining cognitive abstractions through Bayesian modeling. In Forstmann, B. U. & Wagenmakers, E.-J. (Eds.), An Introduction to Model-based Cognitive Neuroscience. (pp. 199-220). Springer: New York.

Theses