Pyles

Pyles.jpg

John Pyles
Research Scientist

Center for the Neural Basis of Cognition
Department of Psychology
Carnegie Mellon University

CV

address: 352 Baker Hall, Pittsburgh, PA 15213
email: jpyles@cmu.edu
phone: (412) 268-4000


Research
My research focuses on how the brain perceives, processes and utilizes dynamic visual information. On a basic level I'm interested in how the brain can recognize and encode objects across motion and changes in shape from articulation. My work also focuses on the critical social information conveyed from the motion of human bodies and faces. How do we understand from motion how someone is happy or sad? How can we tell something is alive?

To answer these questions I use behavioral and neuroimaging techniques such as fMRI and diffusion imaging, and well as machine learning approaches in analysis of neuroimaging data. I also have an interest and expertise in advanced neuroimaging techniques and improving human neuroimaging methods.



Education
2009 Ph.D. Cognitive Sciences with a Concentration in Cognitive Neuroscience, University of California, Irvine, Advisor: Emily D. Grossman
2005 MA Cognitive Sciences, University of California, Irvine, Advisor: Emily D. Grossman
2003 BA in History and Philosophy of Science with College Honors, University of Washington
2003 BA in Philosophy with College Honors, University of Washington



Publications

Ghuman, A.S., Brunet, N.M., Li, Y., Konecky, R.O., Pyles, J.A., Walls, S.A., Destefino, V., Wang, W., Richardson, R.M. (in press) Dynamic encoding of face information in human fusiform gyrus. Nature Communications

Leeds, D.D., Pyles, J.A., Tarr, M.J. (2014) Exploration of complex visual feature spaces for object perception. Frontiers in Computational Neuroscience, 8(106)

Leeds, D.D., Seibert, D.A., Pyles, J.A., & Tarr, M.J. (2013) Uncovering the visual components of cortical object representation. Journal of Vision, 13(13):25

Xu, Y., D’Lauro, C., Pyles, J.A., Kass, R., & Tarr, M.J. (2013) The temporal code of visual category learning in the brain. Frontiers in Human Neuroscience, 4:684.

Pyles, J., Verstynen, T.D., Schneider, W., & Tarr, M.J. (2013) Explicating the Face Perception Network with White-Matter Connectivity. PLoS ONE, 8(4), e61611

Phillips, J.S., Greenberg, A.S., Pyles, J.A., Pathak,S.K., Behrmann, M., Schneider, W., Tarr, M.J. (2012) Co-Analysis of Brain Structure and Function Using fMRI and Diffusion Weighted Imaging. Journal of Visualized Experiments (69)

Garcia, J., Pyles. J., & Grossman, E., (2012) Local global and complex motion in human middle temporal area. Brain Research, 1466, 56-69

Pyles, J.A. & Grossman, E.D. (2013) Neural mechanisms for biological motion and animacy. Perception of the Human Body in Motion: Findings, Theory and Practice. K. Johnson & M. Shiffrar (Editors). Oxford University Press

Jardine, N., Pyles, J., & Grossman, E., (2010) fMR-Adaptation reveals viewpoint invariance for biological motion in the STSp. Frontiers in Human Neuroscience, 4(15), 1-18

Pyles, J., & Grossman, E. (2009) Neural adaptation for novel objects during dynamic articulation. Neuropsychologia, 47 (5), 1261-1268

Pyles, J., Garcia, J., Hoffman, D., & Grossman, E., (2007) Visual Perception and Neural Correlates of Novel ‘Biological Motion’. Vision Research, 47, 2786-2797

Joslyn, S., Pak, K., Jones, D., Pyles, J., & Hunt, E. (2007) The Effect of Probabilistic Information on Threshold Forecasts. Weather and Forecasting, 22-4, 804-812

Pyles, J. & Jones, D. (2003) Experiments & Research Regarding Uncertainty in Weather Forecasting: MURI-UW. APL-UW Technical Memorandum