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My name is Christopher Madan and I recently completed a PhD in Psychology at the University of Alberta. In September 2014, I will be starting as a postdoctoral fellow with Dr. Elizabeth Kensinger at Boston College. If you want to email me, I can be contacted at: contact@cmadan.com.

At the University of Alberta, I was supervised by Dr. Marcia Spetch (Psychology). I also work extensively with Dr. Jeremy Caplan (Psychology & Neuroscience) and Dr. Esther Fujiwara (Psychiatry & Neuroscience), Dr. Anthony Singhal (Psychology & Neuroscience), Dr. Tobias Sommer (University Medical Center Hamburg-Eppendorf, Systems Neuroscience) and Dr. Nikolai Malykhin (Psychiatry, Neuroscience, & Biomedical Engineering).

My primary research focus is how different types of memory are modulated by biologically relevant stimuli. Briefly, memory is generally enhanced for experiences that are emotional or rewarding, but sometimes these effects can simultaneous impairments for other types of memory, such as memory for associated information or memory for order. Furthermore, these 'memory biases' can also influence other cognitive processes such as decision making. Click here to read more about my research interests.

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University of Alberta Psychology Department

Most Recent Publications

Madan, C. R. (2014). Manipulability impairs association-memory: Revisiting effects of incidental motor processing on verbal paired-associates. Acta Psychologica, 149, 45-51. doi:10.1016/j.actpsy.2014.03.002

 

Nankoo, J.-F., Madan, C. R., Spetch, M. L., & Wylie, D. R. (in press). Perception of complex motion in humans and pigeons (Columba livia). Experimental Brain Research. doi:10.1007/s00221-014-3876-2

 

Madan, C. R. (2014). Augmented memory: A survey of the approaches to remembering more. Frontiers in Systems Neuroscience, 8, 30. doi:10.3389/fnsys.2014.00030

 

Madan, C. R., & Singhal, A. (in press). Improving the TAMI for use with athletes. Journal of Sports Sciences. doi:10.1080/02640414.2014.889847

 

Madan, C. R., & Spetch, M. L. (2014). Visualizing and quantifying movement from pre-recorded videos: The spectral time-lapse (STL) algorithm. F1000Research, 3, 19. doi:10.12688/f1000research.3-19

 


An Introduction to MATLAB for Behavioral Researchers

MATLAB is a powerful data analysis program, but many behavioral science researchers find it too daunting to learn and use. An Introduction to MATLAB for Behavioral Researchers is an easy-to-understand, hands-on guide for behavioral researchers who have no prior programming experience. Written in a conversational and non-intimidating style, the author walks students--step by step--through analyzing real experimental data. Topics covered include the basics of programming, the implementation of simple behavioral analyses, and how to make publication-ready figures. More advanced topics such as pseudo-randomization of trial sequences to meet specified criteria and working with psycholinguistic data are also covered. Interesting behavioral science examples and datasets from published studies, such as visualizing fixation patterns in eye-tracking studies and animal search behavior in two-dimensional space, help develop an intuition for data analysis, which is essential and can only be developed when working with real research problems and real data.

Click here for more information.