My name is Christopher Madan and I am an Assistant Professor in the School of Psychology at the University of Nottingham. If you want to email me, I can be contacted at: christopher.madan@nottingham.ac.uk.

Research Interests

I study memory using a combination of cognitive psychology, neuroimaging, and computational modeling methods. I am particularly interested in what factors makes some experiences more memorable than others (such as emotion, reward, and motor processing) and how these influences can manifest in future behavior, such as decision making. I also specialize in characterizing inter-individual differences in brain morphology, particularly with respect to aging, dementia, and cognitive abilities.

Memory for past experiences can be used to inform future behavior. However, not all experiences are equally informative for future behavior‚Äďin part because some experiences are more memorable than others. Although many factors can influence memorability, it is well known that both emotion and reward influence memory. Their effects are often studied independently, but in my own work, I seek to advance our understanding of these distinct effects on memory, but also to investigate commonalities in their effects, with the goal of understanding domain-general modulation of memory for motivationally salient information. Although biases can provide insight into the functional role of memory, how these biases manifest in decision-making furthers demonstrate their importance.

I conduct research across a variety of topics, including emotional memory, risky decision-making, and embodied cognition. I study these topics using behavioral paradigms, as well as fMRI, EEG, and structural MRI. Additionally, some studies involve computational modeling--either in the form of advanced statistical methods and machine learning, or through the development of specific models designed to distinguish between particular theoretical hypotheses. For more details on projects explicitly designed for methods development, see here.

Recent Publications

Madan, C. R. (2018). ElGateau: A library for using the Elgato Stream Deck for experimental psychology research. Journal of Open Source Software, 3, 1070. doi:10.21105/joss.01070

MacIntyre, T. E., Madan, C. R., Moran, A. P., Collet, C. & Guillot, A. (2018). Motor imagery, performance and motor rehabilitation. In S. Marcora & M. Sarkar (Eds.), Progress in Brain Research (Vol. 240, pp. 141-159). doi:10.1016/bs.pbr.2018.09.010

Ksander, J. C., Kark, S. M., & Madan, C. R. (2018). Breathe Easy EDA: A MATLAB toolbox for psychophysiology data management, cleaning, and analysis. F1000Research, 7, 216. doi:10.12688/f1000research.13849.1

Madan, C. R. (2018). Age differences in head motion and estimates of cortical morphology. PeerJ, 6, e5176. doi:10.7717/peerj.5176

MacIntyre, T. E., Madan, C. R., Brick, N. E., Beckmann, J., & Moran, A. P. (2019). Imagery expertise and action: A window into embodiment. In M. L. Cappuccio (Ed.), Handbook of Embodied Cognition and Sport Psychology (pp. 625-650). Cambridge, MA: MIT Press.

Heard, A., Madan, C. R., Protzner, A., & Pexman, P. M. (in press). Getting a grip on sensorimotor effects in lexical-semantic processing. Behaviour Research Methods. doi:10.3758/s13428-018-1072-1


An Introduction to MATLAB for Behavioral Researchers

Over the years I have trained many colleagues in using MATLAB for behavioral analyses. In doing so, I noticed many of the same issues arise, so I decided to write a book to guide people in learning MATLAB, beginning from no prior programmming experience. By using data from previously published papers and an incremental approach, I begin with the basics of conducting behavioral analyses in MATLAB to making publication-quality figures, writing your own functions, and advice on debugging. Some more advanced topics, such as basic eyetracking analyses, are also discussed.

Click here for more information.

Finding me on other websites

Google Scholar | Twitter (@cMadan) | Blog
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