Marc Coutanche, Ph.D.

  • Associate Professor, Psychology

Graduate Student Advisees:

  • Yuetong Bai
  • Amy Qi

Education & Training

  • Ph.D., University of Pennsylvania
  • Postdoctoral Fellowship; Yale University

Research Interest Summary

Cognitive Neuroscience of Memory, Learning & Perception; Neuroimaging Analysis Methods

Research Interests

Representative Publications

Koch, G.E., Paulus, J.P., and Coutanche,M.N. (2020). Neural patterns are more similar across individualsduring successful memory encoding than during failed memory encoding. Cerebral Cortex.

Popov, V., Zhang, Q., Koch,G.E., Calloway, R.C., and Coutanche, M.N. (2019). Semantic knowledge influences whether novel episodic associations arerepresented symmetrically or asymmetrically. Memory & Cognition, 47(8),1567–1581.

Anzellotti, S. and Coutanche, M.N. (2018). Beyond Functional Connectivity: Investigating networks of multivariate representations. Trends in Cognitive Sciences, 22(3), 258–269.

Coutanche, M.N. and 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. and Thompson-Schill, S.L. (2015). Creating concepts from converging features in human cortex. Cerebral Cortex, 25(9), 2584–2593.


Accepting Graduate Students