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Peer Reviewed Journal Articles

In Press

2019

2018

2017

2016

2015

  • Rodriguez, C. A., Turner, B. M., Van Zandt, T., and McClure, S. M. (2015). The neural basis of value accumulation in intertemporal choice. European Journal of Neuroscience. 1-11.
  • Turner, B. M., Van Maanen, L., Forstmann, B. U. (2015). Informing cognitive abstractions through neuroimaging: The Neural Drift Diffusion Model. Psychological Review. 122, 312-336.
  • Van Maanen, L., Turner, B. M., and Forstmann, B. U. (2015). From model-based perceptual decision-making to spatial interference control. Current Opinion in Behavioral Sciences. 1, 72-77.

2014

2013

2012

2011

2010

  • Turner, B. M., Betz, N. E., Edwards, M. C., and Borgen, F. H. (2010). Psychometric examination of an inventory of self-efficacy for the Holland vocational themes using item response theory. Measurement and Evaluation in Counseling and Development. 43, 188-198.

2009


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