Purcell, B.A., & Palmeri, T.J. (in press). Relating accumulator model parameters and neural dynamics. Journal of Mathematical Psychology. [PDF]
Turner, B.M., Forstmann, B.U., Love, B., Palmeri, T.J., & Van Maanen, L. (in press). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology. [PDF]
Annis, J., Miller, B.J., & Palmeri, T.J. (in press). Bayesian inference with Stan: A tutorial on adding custom distributions. Behavioral Research Methods. [PDF]
Ross, D.A., & Palmeri, T.J. (in press). The importance of formalizing computational models of face adaptation aftereffects. Frontiers in Psychology. [PDF]
Our recent review paper:
Richler, J.J., & Palmeri, T.J. (2014). Visual category learning. Wiley Interdisciplinary Reviews in Cognitive Science, 5, 75-94. [PDF]
was recognized as a Top Ten Cited Articles in the journal. The full top 10 list can be found here:
Mike will begin this fall as an assistant professor in the Department of Psychology at the University of Toronto. The University of Toronto is one of the oldest and most distinguished departments of psychology in the world.
Mike earned his PhD from our lab and has been a postdoctoral fellow at the University of Texas for the past several years. At Vanderbilt, Mike won the Jum Nunnally Dissertation Award, a Vanderbilt Dissertation Enhancement Grant, the Pat Burns Memorial Student Research Award, the William F. Hodges Teaching Assistant Award, and was a Learning Sciences Institute Fellow. During his postdoctoral fellowship, he has been funded by an NIH NRSA grant, he was an OPAM conference organizer, and a Memory Disorders Research Society organizer. Mike has published papers in JEP:General, JEP:HPP, Current Biology, Psychonomic Bulletin & Review, Journal of Vision, Vision Research, and several other journals and other publication outlets. His research combines behavioral experiments, functional brain imaging, and computational modeling to study human learning, memory, and categorization.
We all wish Mike the best of success in his new faculty position.
We congratulate Jianhong (May) Shen as the 2016 winner of The Lisa M. Quesenberry Foundation Award. This was established by Irvin and Mary Ann Quesenberry and Kathryn Quesenberry to memorialize the accomplishments of their daughter and sister, Lisa M. Quesenberry. It is designed to provide research or study awards to motivated graduate students. Preferably, the awards will be made to female graduate students who are studying the field of psychology and who have overcome significant personal challenges to pursue their education. Congratulations May!
Today, Julie Schnur received her Bachelor’s of Engineering in Biomedical Engineering with a minor in Scientific Computing. Julie has worked for the past year as an undergraduate research assistant in the lab under the direct supervision of postdoctoral fellow Brent Miller. At today’s graduation ceremonies, Julie was honored with the Founder’s Medal for First Honors in Engineering, the highest honor bestowed on a graduate of Vanderbilt. A link to the details can be found at http://news.vanderbilt.edu/2016/05/founders-medalists-honored-at-vanderbilt-commencement/.
This is the second year in a row that an undergraduate researcher in the lab has been so honored; last year’s winner of the Founder’s Medal in Engineering was our own Akash Umakantha.
Congratulations to May and Jeff on each being awarded 2016 Young Scientist Travel Awards to the Annual Meeting of the Society for Mathematical Psychology. The award provides $1000 in travel allowance to the society meeting this summer at Rutgers University.
We are looking for outstanding students interested in a Research Experience for Undergraduates (REU) at the CatLab at Vanderbilt University this summer 2016. Our REU is part of an NSF-funded project entitled Perceptual Categorization in Real-World Expertise. This project uses online behavioral experiments to understand the temporal dynamics of perceptual expertise, measuring and manipulating the dynamics of object recognition and categorization at different levels of abstraction and assessing how those dynamics vary over measured levels of expertise, using computational models to test hypotheses about expertise mechanisms. Students have opportunities to work on projects ranging from the development of online experiments, development of analysis routines, and development and testing of computational models. This REU is especially appropriate for students interested in applying to graduate programs in psychology, vision science, cognitive science, or neuroscience. The REU provides a $5000 summer stipend, $500 per week for ten weeks; an additional $150 per week helps offsets the cost of housing and meals; a $250 travel allowance is also provided. REUs are restricted to undergraduate students currently enrolled in a degree program and must be U.S. citizens, U.S. nationals, or permanent residents of the United States.
People with perceptual expertise are skilled at making rapid identifications of specialized objects at a glance, often in poor light and camouflage. Forensic experts can accurately match exemplars to latent fingerprints that may be small, distorted, or smudged. Expert radiologists can quickly categorize medical images as normal or cancerous. Bird experts can identify species at long distances and in poor light. This project examines perception, categorization, and identification along the continuum from novice to expert performance in two real-world perceptual domains: analysis of latent fingerprints and zoological identification of birds. Forensic expertise was chosen because of its real-world importance in criminal and civil investigations and homeland security. Bird expertise was chosen not because it is important to understand bird identification per se, but because it is an excellent domain for studying a broad continuum of real-world expertise with a large and willing subject population. The overall aim is to understand how fundamental perceptual and cognitive mechanisms are tuned and modified by experience and expertise. The models arising from this project will enable us to understand the development of real-world perceptual expertise and to validate theoretically-grounded measures of expert performance.
Why study perceptual expertise? Just as gifted athletes push the limits of their bodies, or prize-winning mathematicians push the limits of their minds, perceptual experts push the limits of their perceptual systems. Perhaps with better markers of perceptual expertise and a better understanding of how people become perceptual experts, we could identify potential perceptual experts more effectively, train new perceptual experts more efficiently, and evaluate existing perceptual experts more thoroughly. Studying perceptual expertise can also help inform our understanding of the kinds of everyday expertise that we all have, such as recognizing faces or reading words. This can yield new insights into education and workforce training along with new insights into how the ravages of brain damage or disease might lead to perceptual and learning deficits and potentially inform future breakthroughs in evaluation, intervention, or treatment.
Following standard practice in my lab for the past two decades, undergraduates will be paired with a senior graduate student or postdoctoral fellow and work with them on a specific concrete project. They will read relevant research pertaining to the project underway and they will attend lab meetings. They will meet regularly with the graduate student or postdoctoral fellow as well as myself to discuss goals, achievements, and challenges. Undergraduates in my lab typically begin by working on an ongoing project but as their skills develop and their interests blossom, they often end up working on new projects more independently. Lab meetings often offer opportunities to discuss broader issues related to topics like responsible conduct of research and professional development.
Please send the following to Professor Thomas Palmeri at email@example.com; we will begin reviewing applications February 15, 2016.
- 1-2 page cover letter describing your educational experience and research background, your interest in the research in the CatLab, and your future goals; please also describe your computer programming experience.
- Resume or vita.
- Recommendation letters from 2 individuals who could comment on your educational background, experience, and potential for research. Recommenders should send letters directly to Professor Palmeri.
Undergraduate student participants supported with NSF funds in REU programs must be U.S. citizens, U.S. nationals, or permanent residents of the United States. An undergraduate student is a student who is enrolled in a degree program (part-time or full-time) leading to a baccalaureate or associate degree. Students who are transferring from one college or university to another and are enrolled at neither institution during the intervening summer may participate. High school graduates who have been accepted at an undergraduate institution but who have not yet started their undergraduate study are also eligible to participate. Students who have received their bachelor’s degrees and are no longer enrolled as undergraduates are generally not eligible to participate.
The Perceptual Expertise Network celebrated its 30th workshop by inviting current PEN members, previous PEN members, and PEN friends to a day of talks as well as a reunion dinner following the talks. This was held on May 14th, 2015 at the TradeWinds Island Grand Resort in St. Pete Beach, Florida, as a satellite to the annual VSS conference.
Speakers at PEN XXX were:
Thomas Palmeri (Vanderbilt), Opening remarks
Marlene Berhmann (Carnegie Mellon), Never the twain shall meet
Kim Curby (Macquarie University), Are faces super objects? Object-based benefits support holistic perception
Lisa Scott (UMass Amherst), How learning during infancy enhances and constrains brain and behavioral development
Bruno Rossion (University of Louvain), Understanding expertise in face perception with fast periodic visual stimulation
Suzy Scherf (Penn State), Puberty makes us different kinds of face experts
Jim Tanaka (Victoria), Bridging the expertise gap: From the laboratory to the real world
Mike Mack (UT Austin), The evolution of category knowledge: Linking learning models to the dynamics of neural representations
Jennifer Richler (Vanderbilt), Measuring individual differences in high-level vision in a latent-variables framework
Ben Cipollini (UCSD), Exploring anatomy and genetics of cortical asymmetries
Isabel Gauthier (Vanderbilt), 15 years of fMRI studies of expertise
Michael Tarr (Carnegie Mellon), Closing talk
Photos from the workshop can be found here:
The Founder’s Medal is the top honor given to a graduate of Vanderbilt University. Cornelius Vanderbilt’s gifts to the university included endowment of this award, given since 1877 for first honors in each graduating class. Akash Umakantha, who has been working in the CatLab since the end of his freshman year, is this year’s recipient from the School of Engineering at Vanderbilt. Congratulations Akash!
Akash Umakantha, from West Chester, Ohio, is Founder’s Medalist for the School of Engineering. He graduated with a bachelor of engineering in electrical and biomedical engineering. Umakantha has been a researcher at Cold Spring Harbor Laboratory, the Vanderbilt Radiation Effects and Reliability Group and the Vanderbilt Department of Psychology. He has presented his research on models of decision-making at two international conferences. Working in Professor of Psychology Tom Palmeri’s laboratory after freshman year, he learned about mathematical models of decision-making and how to simulate complex mathematical equations on a computer. That experience inspired him to pursue an academic career in neuroscience and scientific computing. Umakantha served as an engineering tutor, and he volunteered in a 6th grade classroom through Vanderbilt Student Volunteers for Science. He is a member of engineering honor society Tau Beta Pi. Next fall, Umakantha will attend Carnegie Mellon University to pursue doctoral studies in neural computation and machine learning.
The Bob Fox Award of Excellence in Post-Doctoral Research is granted to post-doctoral fellows in the Department of Psychology at Vanderbilt who have demonstrated outstanding achievement in research; it is named in honor of Robert “Bob” Fox for his essential role in guiding the evolution of Vanderbilt’s Psychology Department over a five-decade period starting in the mid-60s.
Jenn earned her PhD at Vanderbilt with Isabel Gauthier and Thomas Palmeri and has continued on at Vanderbilt as a post-doctoral fellow. She previously won the Nunnally Dissertation Award and the Pat Burns Graduate Student Research Award from the department. She has 30 peer-reviewed publications and is an Associate Editor at JEP:General. She also spearheaded the PeePs (Particularly Exciting Experiments in Psychology) newsletter that highlights research published in the six experimental psychology journals from APA.