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Travis Meyer (PhD) is an American neuroscientist, programmer, and engineer at the University of Pennsylvania. He studies the neural coding of Learning and Memory, and builds integrative neuroscience systems.
| Travis Meyer | |
|---|---|
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| Born | February 25, 1978 Cape May, NJ |
| Citizenship | USA |
| Alma mater | Carnegie Mellon University, Wake Forest Medical Center |
| Spouse | Danielle Meyer |
| Children | 3 |
| Scientific career | |
| Fields | Neuroscience, Artificial Intelligence, Biomedical Engineering |
| Institutions | University of Pennsylvania (2015-present) |
| Thesis | Functional Organization of the Prefrontal Cortex (2008) |
| Doctoral advisor | Christos Constantinidis |
| Website | www.travismeyerphd.org |
Education and Early Career
Dr. Meyer received his Bachelors of Science from Florida Atlantic University in 2002, with an honors thesis under Steven Bressler. He then went on to receive his PhD in Neuroscience from Wake Forest Medical Center under the mentorship of Christos Constantinidis and Terry Stanford. There, his work focused on how the primate brain processing visual information for space and objects in different areas of the prefrontal cortex.
Career and Research
Dr. Meyer completed postdoctoral work at Carnegie Mellon University between 2008 and 2014 in the laboratory of Carl R Olson. There he worked in Biomedical Engineering where he discovered implicit statistical learning in Primate visual systems. Dr. Meyer joined the Visual Memory Laboratory at the University of Pennsylvania where he is the Senior Research Lead in 2015.
References
- Meyer, Travis; Constantinidis, Christos (2005-03-15). "A software solution for the control of visual behavioral experimentation". Journal of Neuroscience Methods. 142 (1): 27–34. doi:10.1016/j.jneumeth.2004.07.009. ISSN 0165-0270. PMID 15652614.
- Meyer, Travis; Olson, Carl R. (2011-11-29). "Statistical learning of visual transitions in monkey inferotemporal cortex". Proceedings of the National Academy of Sciences of the United States of America. 108 (48): 19401–19406. doi:10.1073/pnas.1112895108. ISSN 1091-6490. PMC 3228439. PMID 22084090.