Teresa Pegors
Affiliations: | University of Pennsylvania, Philadelphia, PA, United States | ||
| Psychology | Azusa Pacific University |
Area:
high-level vision, neuroaestheticsWebsite:
https://www.apu.edu/bas/faculty/tpegors/Google:
"Teresa Pegors"Mean distance: 14.05 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Olaf Sporns | research assistant | 2002-2005 | Indiana University |
| Kevin A. Pelphrey | research assistant | 2008-2008 | Carnegie Mellon |
| Emily B. Falk | grad student | 2014- | Penn |
| Russell Epstein | grad student | 2009-2014 | Penn |
| Martha J. Farah | post-doc | 2014- | Penn |
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Publications
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| Pegors TK, Tompson S, O'Donnell MB, et al. (2017) Predicting Behavior Change From Persuasive Messages Using Neural Representational Similarity and Social Network Analyses. Neuroimage |
| Pegors TK, Mattar MG, Bryan PB, et al. (2015) Simultaneous perceptual and response biases on sequential face attractiveness judgments. Journal of Experimental Psychology. General. 144: 664-73 |
| Pegors TK, Kable JW, Chatterjee A, et al. (2015) Common and unique representations in pFC for face and place attractiveness. Journal of Cognitive Neuroscience. 27: 959-73 |
| Pegors T, Bryan P, Mattar M, et al. (2014) Decoupling perceptual and response biases in a sequential face judgment task Journal of Vision. 14: 1257-1257 |
| Perlman SB, Hudac CM, Pegors T, et al. (2011) Experimental manipulation of face-evoked activity in the fusiform gyrus of individuals with autism. Social Neuroscience. 6: 22-30 |
| Pegors T, Epstein R. (2011) Sensitivity to the aesthetic value of scenes in the parahippocampal place area Journal of Vision. 11: 1119-1119 |
| Pegors T, Epstein R. (2010) Neural coding of scene affordances Journal of Vision. 10: 1258-1258 |
| Lungarella M, Pegors T, Bulwinkle D, et al. (2005) Methods for quantifying the informational structure of sensory and motor data. Neuroinformatics. 3: 243-62 |
| Sporns O, Pegors TK. (2004) Information-theoretical aspects of embodied artificial intelligence Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3139: 74-85 |