Selection of articles

 

Selection of articles summarised for the first version of my proposal

On the 20th February, we were tasked to provide summaries of 20 articles that were of use for our proposal. This was a very valuable exerise and it is an exercie that I will definitely continue as I progress through my studies. These were as follows:

  1. Balatsoukas, P., & Ruthven, I. (2012). An eye-tracking approach to the analysis of relevance judgments on the web: The case of Google search engine. Journal of the American Society for Information Science and Technology, 63(9), 1728–1746.
  2. Benedek, M., & Kaernbach, C. (2010). Decomposition of skin conductance data by means of nonnegative deconvolution. Psychophysiology, 47(4), 647–658.
  3. Cavanagh, J. F., Wiecki, T. V., Kochar, A., & Frank, M. J. (2014). Eye tracking and pupillometry are indicators of dissociable latent decision processes. Journal of Experimental Psychology: General, 143(4), 1476–1488.
  4. Colas, J. T. (2017). Value-based decision making via sequential sampling with hierarchical competition and attentional modulation. PLoS ONE (Vol. 12).
  5. Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.-J. (2016). Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions. Annual Review of Psychology, 67, 641–666.
  6. Green, N. (2012). Decision making mechanisms in the human brain. Freie Universitaet Berlin.
  7. Milosavljevic, M., Malmaud, J., Huth, A., Koch, C., & Rangel, A. (2010). The Drift Diffusion Model Can Account for the Accuracy and Reaction Time of Value-Based Choices Under High and Low Time Pressure. SSRN Electronic Journal, 5(6), 437–449.
  8. Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016). Diffusion Decision Model: Current Issues and History. Trends in Cognitive Sciences, 20(4), 260–281.
  9. Shadlen, M. N., & Shohamy, D. (2016). Decision Making and Sequential Sampling from Memory. Neuron, 90(June 1), 927–939.
  10. Smith, D. V., & Huettel, S. A. (2010). Decision neuroscience: Neuroeconomics. Wiley Interdisciplinary Reviews: Cognitive Science, 1(6), 854–871.
  11. Summerfield, C., & De Lange, F. P. (2014). Expectation in perceptual decision making: Neural and computational mechanisms. Nature Reviews Neuroscience, 15(11), 745–756.
  12. van den Berg, R., Zylberberg, A., Kiani, R., Shadlen, M. N., & Wolpert, D. M. (2016). Confidence Is the Bridge between Multi-stage Decisions. Current Biology, 26(23), 3157–3168.
  13. Van Rvenzwaaij, D., Donlin, C. and Vandekerckhove, J. 2017. The EZ diffusion model provides a powerful test of simple empirical effects. Psychonomic Bulletin and Review, 24, pp. 547–556.
  14. Vandekerckhove, J. and Tuerlinckx, F. (2008) Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods, 40 (1), pp. 61-72.