Edward A. Vessel, PhD
Hauptforschungsgebiete
- Neuronale Grundlagen der ästhetischen Erfahrung
- Visuelle Präferenzen
- Neurobiologie der Informationssuche
- Brain Imaging-Methoden
Vita
Ausbildung
1997 – 2004 | PhD (Neurowissenschaften), The University of Southern California, Los Angeles, CA |
1993 – 1997 | Bachelor of Arts (Kognitionswissenschaft), The Johns Hopkins University, Baltimore, MD |
Werdegang
2016 - | 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 |
2011 | 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 |
Publikationen
Monographien
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.
Auszeichnungen & Stipendien
Auszeichnungen & Stipendien
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 |
2013 | Podiumsredner, World Science Festival |
2003 - 2006 | Postdoctoral NRSA award (NEI) |
2001 - 2003 | Predoctoral NRSA Volontariat: USC Cognitive and Computational Neuroscience Training Grant |
2001 | Stipendiat am Dartmouth Summer Institut in Kognitionswissenschaften |
Projekte
- 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): Psychometrische Analyse und Prüfung der Messinvarianz in Stichproben aus den USA und Deutschland
Die Annahme, dass die meisten Personen eine Disposition zu bewegendem ästhetischem Erleben haben, ist allgemein akzeptiert, wobei Personen sich darin unterscheiden können, auf welche spezifischen Reize sie positive ästhetische Reaktionen zeigen, ...