Carnegie Mellon University

Michael Tarr

Michael Tarr

Department Head, Psychology


My research focuses on the how the primate brain turns 2D retinal images into the perception of objects and scenes. I am interested in:

  • Face, Object, and Scene Perception
  • Perceptual Expertise and Learning
  • Visual Categorization and Semantics
  • Computational and Artificial Vision Systems
  • Novel Imaging Methods, Including Real-time, Adaptive fMRI


PubMed List of Publications

Tarr, M. J., & Aminoff, E. M. (2016). Can Big Data Help Us Understand Human Vision? In M. Jones (Ed.), Big Data in Cognitive Science. Taylor & Francis: Psychology Press. 

Aminoff, E. M., Toneva, M., Shrivastava, A., Chen, X., Misra, I., Gupta, A., & Tarr, M. J. (2015). Applying artificial vision models to human scene understanding. Front. Comput. Neurosci., 9. doi:10.3389/fncom.2015.00008

Leeds, D. D., Pyles, J. A., & Tarr, M. J. (2014). Exploration of complex visual feature spaces for object perception. Front. Comput. Neurosci., 8(106). doi: 10.3389/fncom.2014.00106

Yang, Y., Tarr, M. J., & Kass, R. E. (2014). Estimating learning effects: A short-time Fourier transform regression model for MEG source localization. In Springer Lecture Notes on Artificial Intelligence: MLINI 2014: Machine learning and interpretation in neuroimaging.

Leeds, D. D., Seibert, D. A., Pyles, J. A., & Tarr, M. J. (2013). Comparing visual representations across human fMRI and computational vision. J. of Vision. 13(13). doi: 10.1167/13.13.25

Pyles, J. A., Verstynen, T. D., Schneider, W., & Tarr, M. J. (2013). Explicating the face perception network with white-matter connectivity. PLoS ONE, 8(4): e61611. doi:10.1371/journal.pone.0061611 

Nestor, A., Vettel, J. M., & Tarr, M. J. (2012). Internal representations for face detection: An application of noise-based image classification to BOLD responses. Human Brain Mapping, n/a. doi:10.1002/hbm.22128

Lebrecht, S., Bar, M., Barrett, L. F., & Tarr, M. J. (2012). Micro-Valences: Affective valence in "neutral" everyday objects. Frontiers in Perception Science, 3(107). doi:10.3389/fpsyg.2012.00107