Marc Coutanche

Associate Professor, University of Pittsburgh Department of Psychology

Research Scientist, Learning Research & Development Center

Lab

http://www.mcoutanche.com/

Education and Training

PhD, University of Pennsylvania

Research Interests

My lab has two core areas of research. First, we draw on the methods of cognitive neuroscience to understand how the human brain learns and stores knowledge, and how new knowledge influences other cognitive systems. One of the lab's main approaches is to combine neuroimaging experiments with advanced computational techniques. These analysis approaches can help us identify and -just as importantly- understand how information is being represented in the complex activity patterns of human cortex. Another key approach is using behavioral investigations to research how new knowledge becomes integrated into our memory systems.

A second focus is the development and use of new analytical approaches to probe functional magnetic resonance imaging (fMRI) data. One of the biggest challenges of the recent growth in 'big data' is identifying meaningful patterns from the immense amount of data that is available to us. We are working on approaches to understand how the information in the brain's networks is successfully integrated across different regions and brain systems.

Recent Publications

Hallion, L.S., Wright, A.G.C., Coutanche, M.N., Joormann, J., & Kusmierski, S.N. (2022). A five factor model of perseverative thought. Journal of Psychopathology and Clinical Science, 31(3), 235- 252.

Ren, X., Liu, R., Coutanche, M.N. ,Fiez, J.A., & Libertus, M.E. (2022). Numerical estrangement and integration between symbolic and non-symbolic numerical information: Task-dependence and its link to math abilities in adults. Cognition.  

Koch, G.E., Libertus, M.E., Fiez, J.A., & Coutanche, M.N. (2022) "Representations within the intraparietal sulcus distinguish numerical tasks and formats."  Journal of Cognitive Neuroscience. 1-14.

Lee, S-H., Liu, X., & Coutanche, M. (2021). Editorial: Neural Mechanisms of Memory Retrieval and Its Links to Other Cognitive Processes. Frontiers in Human Neuroscience

Ren, X., & Coutanche, M.N. (2021). Sleep reduces the semantic coherence of memory recall: An application of latent semantic analysis to investigate memory reconstruction. Psychonomic Bulletin & Review.

Marc Coutanche's Google Scholar profile

News and Awards