Office: 646 LRDC
Phone: (412) 624-7458
Assistant Professor, University of Pittsburgh Department of Psychology
Research Scientist, Learning Research & Development Center
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.
Carlos, B. J., Hirshorn, E. A., Durisko, C., Fiez, J. A., & Coutanche, M. N. (2019). Word inversion sensitivity as a marker of visual word form area lateralization: An application of a novel multivariate measure of laterality. NeuroImage, 191,493-502.
Martin, L., Durisko, C., Moore, M. W., Coutanche, M. N., Chen, D., & Fiez, J. A. (2019). The VWFA is the home of orthographic learning when house images are used as letters. eNeuro, 6(1)
Popov, V., Zhang, Q., Koch, G.E., Calloway, R.C., and Coutanche, M.N. (2019). Semantic knowledge influences whether novel episodic associations are represented symmetrically or asymmetrically. Memory & Cognition.
Coutanche, M. N. (2019). Addressing misconceptions of fast mapping in adults. Invited commentary. Cognitive Neuroscience.
Coutanche, M. N., Solomon, S. H., & Thompson-Schill, S. (2019). Conceptual combination. In The Cognitive Neurosciences, 6th edition. Cambridge, Massachusetts: MIT Press.
Coutanche, M. N., & Thompson-Schill, S. L. (2019). Neural activity in human visual cortex is transformed by learning real world size. NeuroImage, 186, 570-576.
Anzellotti, S., & Coutanche, M. N. (2018). Beyond functional connectivity: Investigating networks of multivariate representations. Trends in Cognitive Sciences.
Coutanche, M. N. & Paulus, J. P. (2018). An empirical analysis of popular press claims regarding linguistic change in President Donald J. Trump. Frontiers in Psychology, 9.
Bruett, H., Fang, X., Kamaraj, D. C., Haley, E., & Coutanche, M. N. (2018). Expertise moderates incidentally learned associations between words and images. Frontiers in Psychology, 9.
Coutanche, M. N. & Koch, G. E. (2018). Creatures great and small: Real-world size of animals predicts visual cortex representations beyond taxonomic category. NeuroImage, 183, 627-634.
Coutanche, M. N. & Koch, G. E. (2017). Variation across individuals and items determine learning outcomes from fast mapping. Neuropsychologia, 106, 187–193.
Coutanche, M.N., Solomon, S.H., & Thompson-Schill, S.L. (2016). A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes. Neuropsychologia, 82, 134-141.
Coutanche, M. N. & Thompson-Schill, S. L. (2015). Rapid consolidation of new knowledge in adulthood via fast mapping. Trends in Cognitive Sciences, 19(9), 486-488
Coutanche, M.N. and Thompson-Schill, S.L. (2015). Creating concepts from converging features in human cortex. Cerebral Cortex, 25(9), 2584-2593.
Coutanche, M. N. & Thompson-Schill, S. L. (2014). Fast mapping rapidly integrates information into existing memory networks. Journal of Experimental Psychology: General, 143(6), 2296-2303
Coutanche, M. N. & Thompson-Schill, S. L. (2014). Using informational connectivity to measure the synchronous emergence of fMRI multi-voxel information across time. Journal of Visualized Experiments (89), e51226.
Coutanche, M. N. & Thompson-Schill, S. L. (2014). Creating concepts from converging features in human cortex. Cerebral Cortex.
Coutanche, M. N. & Thompson-Schill, S. L. (2013). Informational Connectivity: Identifying synchronized discriminability of multi-voxel patterns across the brain. Frontiers in Human Neuroscience, 7(15), 1-14.
Coutanche, M. N. Gianessi, C. A., Chanales, A. J. H., Willison, K. W., & Thompson-Schill, S. L. (2013). The role of sleep in forming a memory representation of a two-dimensional space. Hippocampus, 23(12), 1189-1197.
Coutanche, M. N. (2013). Distinguishing multi-voxel patterns and mean activation: Why, how, and what does it tell us? Cognitive, Affective and Behavioral Neuroscience (CABN), 13(3), 667-673.
Casey, J.P., Magalhaes, T., Conroy, J.M., Regan, R., Shah, N., Anney, R., Shields, D.C., et al. (2012). A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder. Human Genetics, 131(4), 565–579.
Kylliäinen, A., Wallace, S., Coutanche, M. N., Leppänen, J. M., Cusack, J., Bailey, A. J., & Hietanen, J. (2012). Affective-motivational brain responses to direct gaze in children with autism spectrum disorder. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 53(7), 790-797.
Coutanche, M. N. & Thompson-Schill, S. L. (2012). Reversal without remapping: What we can (and cannot) conclude about learned associations from training-induced behavior changes. Perspectives on Psychological Science, 7(2), 118-134.
Coutanche, M. N. & Thompson-Schill, S. L. (2012). The advantage of brief fMRI acquisition runs for multi-voxel pattern detection across runs. NeuroImage, 61(4), 1113-1119.
Coutanche, M. N. Thompson-Schill, S. L., & Schultz, R. T. (2011). Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity. NeuroImage, 57(1), 113-123.
Julie Fiez, Marc Coutanche, and Corrine Durisko's study published in the Journal of the Society of Neuroscience has been featured in the May 17 PittWire article "Researchers Teach Adults to Read Using Pictures of Houses."
May 17, 2019
Kudos to Marc Coutanche and his XR Brain Jam team for developing an augmented reality solution to help children with autism make eye contact, titled Head On. The presented their work at Games for Change XR4C Summit. XR Brain Jam pairs neuroscience researchers with game development teams and charges them with exploring the intersection of their domains.
July 12, 2018
The National Science Foundation (NSF) awarded one of only 19 grants given to cross-disciplinary teams across the United States to Melissa Libertus (P.I.), Associate Professor, Psychology, Marc Coutanche, Assistant Professor, Psychology, and Julie Fiez, Professor, Psychology, Neuroscience, CNBC and Communication Sciences and Disorders, to conduct innovative research on neural and cognitive systems.
August 8, 2017
Marc Coutanche, Assistant Professor, Psychology, and LRDC Research Scientist, was quoted in the July 11, 2017 issue of the Pittsburgh Post-Gazette in the article "Using Brain Patterns May Be First Step to Reading the Mind, CMU Study Shows."
July 17, 2017
Marc Coutanche, LRDC Research Scientist, has been selected as an awardee for the 2016 Pitt Research Council Central Research Development Fund (CRDF) for his project "Individual Differences in the Memory Systems Employed in Learning and Retrieval.”
July 11, 2016
Marc Coutanche, LRDC Research Scientist, was quoted in the July 6 Pittsburgh City Paper article “We Go Inside the Escape-Room Phenomenon,” on the role of stress in figuring out puzzles.
July 6, 2016
LRDC Research Scientist Marc Coutanche was quoted in the March 26 Today article “How Unconscious Memory Trips Us Up."
March 26, 2016
LRDC Research Scientist Marc Coutanche commented on a memory study for NBC Today (December 30, 2015), “What is your memory style? Brain wiring may control how we remember events.”
Marc Coutanche has been awarded the 2015 Krieg Cortical Kudos Scholar award from the Cajal Club. The award will be presented at the Society for Neuroscience annual meeting.
Krieg Cortical Kudos Scholar Award
NIH Postdoctoral National Research Service Award (top percentile)
Elected Fellow of the Psychonomic Society
American Psychological Foundation F.J. McGuigan Dissertation Award
Howard Hughes Medical Institute International Student Research Fellowship
Ruth Roemer Award for "outstanding contributions to the University of Pennsylvania psychology community"