Main Research Areas
- The neural basis of aesthetic experience
- Visual preferences
- The neurobiology of information foraging
- Brain imaging methods
1997 – 2004
PhD (Neurowissenschaften), The University of Southern California, Los Angeles, CA
1993 – 1997
Bachelor of Arts (Kognitionswissenschaft), The Johns Hopkins University, Baltimore, MD
Research Scientist, Max-Planck-Institut für empirische Ästhetik
2014 - 2015
Full Research Scientist, Center for Brain Imaging, New York University, New York, NY
2010 - 2015
Co-Direktor, NYU ArtLab
2009 - 2014
Assistant Research Scientist, Center for Brain Imaging, NYU
Adjunct Professor, Abteilung Psychologie, NYU
2008 - 2009
Research Consultant für Nava Rubin, Center for Neural Science, NYU, und Denis Pelli, Abt. Psychologie, NYU
2007 – 2008
Adjunct Lecturer, Abteilungen Psychologie und Englisch, NYU
2004 - 2007
Postdoctoral Research Fellow, Center for Neural Science, NYU, Advisor: Nava Rubin
Vessel, E. A., Maurer, N., Denker, A. H., & Starr, G. G. (2018). Stronger shared taste for natural aesthetic domains than for artifacts of human culture. Cognition, 179, 121–131. http://doi.org/10.1016/j.cognition.2018.06.009
Belfi, A.M., Vessel, E.A., Starr, G.G. (2017). Individual ratings of vividness predict aesthetic appeal in poetry. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication http://dx.doi.org/10.1037/aca0000153
Vessel, E. A., Biederman, I., Subramaniam, S., & Greene, M. R. (2016). Effective signaling of surface boundaries by L-vertices reflect the consistency of their contrast in natural images. Journal of Vision, 16(9), 15-15. doi: 10.1167/16.9.15. http://journalofvision.org/16/9/15
Vessel, E. A. (2015) Effects of reduced sensory stimulation and assessment of countermeasures for sensory stimulation augmentation. Draft Report. Houston (TX): National Aeronautics and Space Administration (US). 173 p. Contract No.: NNJ13HF11P.
Vessel, E. A., Stahl, J., Maurer, N., Denker, A., Starr. G.G. (2014) Personalized visual aesthetics. Proc. SPIE 9014, Human Vision and Electronic Imaging XIX, 90140S, 1-8. doi: 10.1117/12.2043126.
Vessel, E. A., Starr, G.G., Rubin, N. (2013) Art reaches within: aesthetic experience, the self and the default-mode network. Frontiers in Neuroscience, 7:258, doi: 10.3389/fnins.2013.00258. http://dx.doi.org/10.3389/fnins.2013.00258
Vessel, E. A., Starr, G.G., Rubin, N. (2012) The brain on art: Intense aesthetic experience activates the default mode network. Frontiers in Human Neuroscience, 6:66, doi: 10.3389/fnhum.2012.00066. http://dx.doi.org/10.3389/fnhum.2012.00066
Vessel, E. A., & Rubin, N. (2010). Beauty and the beholder: Highly individual taste for abstract, but not real-world images. Journal of Vision, 10(2): 18, 1-14, journalofvision.org/10/2/18, doi:10.1167/10.2.18.
Yue, X., Vessel, E. A., & Biederman, I. (2007) The neural basis of scene preferences. NeuroReport, 16(6), 525-529.
Biederman, I. & Vessel, E. A. (2006) Perceptual pleasure and the brain. American Scientist, 94, 249-255.
Awards & Grants
2014 – 2016
Beauty and Beyond Research Institute, Global Institute for Advanced Studies, NYU
2013 – 2014
Sensory stimulation augmentation tools for long duration exploration spaceflight, NASA
Podiumsredner, World Science Festival
2003 - 2006
Postdoctoral NRSA award (NEI)
2001 - 2003
Predoctoral NRSA Volontariat: USC Cognitive and Computational Neuroscience Training Grant
Stipendiat am Dartmouth Summer Institut in Kognitionswissenschaften
- Singing Voice Preferences
As suggested by the many singing contests and music programs in the media, the singing voice attracts ample attention. Recent studies showed that lay and expert listeners share similar definitions of what is “correct” when listening to untrained ...
- Exploring Network Interactions During Aesthetic Experiences
How does the brain support aesthetic experiences with visual stimuli such as artwork, landscapes, architecture or dance? Recent work in our group suggests that finding a painting to be aesthetically moving involves a change away from the typical ...
- Aesthetic Appreciation Across Multiple Visual Domains
Individuals can be aesthetically engaged by objects from widely different visual aesthetic domains, such as paintings, mountain vistas, or buildings. The goal of this project is to understand whether aesthetic appreciation of different visual domains ...
- A Developmental Timeline of Hedonic Preferences
Adult liking judgments for visual scenes are strongly influenced by the semantic content of images, more so than by lower-level visual features (e.g. the presence of specific colors or line types). This results in a strong degree of shared taste ...
- Multidimensional Aesthetic Responsiveness Scale (MARS): Psychometric analysis and test of measurement invariance across samples from the USA and Germany
It is generally accepted that most people are capable of having moving aesthetic experiences, with the caveat that the particular types of stimuli that are effective elicitors of positive aesthetic responses, and the intensity of aesthetic ...