National Endowment for the Arts Grant funded

Posted on May 19, 2019

Palmeri and Gauthier are collaborating with the Albright-Knox Art Gallery in Buffalo, New York, on a two-year project that recently earned a National Endowment for the Arts (NEA) Research: Art Works program award. The project is a scientific study testing whether visual art training can enhance visual perception and visual cognition skills. The Albright-Knox’s Innovation Lab has played a key role in bringing together leading experts in visual arts education, visual perception and visual cognition, and vision, and other collaborators include the Ontario College of Art and Design University and the State University of New York at Buffalo. The team of interdisciplinary partners seeks to combine an art-historical approach to understanding images with a scientific understanding of high-level vision. An arts training program, developed in consultation with OCAD U, will draw from existing museum programs and workshops, as well as basic principles taught in introductory visual studies and visual arts courses, in a series of lessons featuring artworks from the collection of the Albright-Knox. In collaboration with the museum, Vanderbilt will test the impact of the training program on visual perception and visual cognition. The team hopes to use the results of these tests to help shape a curriculum for enhancing high-level visual skills for people from all walks of life, establishing an even more vital role for the visual arts and arts organizations.

Vanderbilt neuroscientists, art museum collaborate on NEA-funded visual cognition research


Recent Papers

Posted on Feb 2, 2019

Servant, M., Tillman, G., Logan, G.D., Schall, J.D., & Palmeri, T.J. (in press). Neurally-constrained modeling of speed-accuracy tradeoff during visual search: Gated accumulation of modulated evidence. Journal of Neurophysiology.

Annis, J., Evans, N.J., Miller, B.J., & Palmeri, T.J. (in press). Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: A tutorial for psychologists. Journal of Mathematical Psychology.

Boehm, U., Annis, J., Frank, M.J., Hawkins, G.E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G.D., Palmeri, T.J., Servant, M., Singmann, H., van Ravenzwaaij, D., Starns, J.J., Wiecki, T.V., Voss, A., Matzke, D., Wagenmakers, E.-J. (in press). Estimating between-trial variability parameters of the drift diffusion model: Expert advice and recommendations. Journal of Mathematical Psychology.

Annis, J., & Palmeri, T.J. (2018). Modeling memory dynamics in visual expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition.

Ross, D.A., Tamber-Rosenau, B.J., Palmeri, T.J., Zhang, J.D., Xu, Y. & Gauthier, I. (2018). High resolution fMRI reveals configural processing of cars in right anterior Fusiform Face Area of car experts. Journal of Cognitive Neuroscience.


Welcome New Members to the CatLab

Posted on Jun 24, 2018

We welcome three new members to the CatLab this summer:

Greg Cox received his PhD from Indiana University in Psychological and Brain Sciences and Cognitive Science, where he worked with Rich Shiffrin. Greg completed a postdoctoral fellowship at Syracuse University and will be joining our lab as a postdoctoral fellow in July. He will be working with Palmeri, Logan, and Schall on model-based cognitive neuroscience. Greg is interested in the development of experimental techniques and mathematical/computational models that help us understand how neural and cognitive processes jointly unfold across time.

Craig Sanders is receiving his PhD from Indiana University in Psychological and Brain Sciences this summer, where he has been working with Rob Nosofsky. Craig will be joining our lab as a postdoctoral fellow next month. He will be working with Palmeri and Gauthier on project using cognitive and deep learning models to understand individual differences in visual cognition. Craig is broadly interested in combining machine learning (especially deep learning) with classic cognitive models to understand how people perceive, categorize, and mentally represent objects.

Jason Chow completed his undergraduate degree in May 2018 at the University of Toronto, he worked with CatLab alumnus, and now University of Toronto faculty member, Michael Mack on the development and validation of a printable 3D stimulus set for categorization experiments in visual and tactile modalities. As a PhD student at Vanderbilt, Jason will be working with Palmeri and Gauthier on combining computational modeling and neuroimaging to gain insights on perceptual expertise.


Mathieu Servant wins Bob Fox Award of Excellence in Postdoctoral Research

Posted on May 15, 2018

Congratulations to Mathieu for being the 2018 winner of the Bob Fox Award of Excellence in Postdoctoral Research.

This award is granted to a postdoctoral fellow in the Department of Psychology at Vanderbilt who has demonstrated outstanding achievement in research. It is named in honor of Robert “Bob” Fox for his essential role in guiding the evolution of of the department over a five-decade period starting in the mid-60’s. Bob enjoyed a highly productive research career, with publications in major journals and continuous grant funding for decades, and he trained a number of students and postdocs who went on to successful careers themselves. Bob has served as an inspiration to generations of subsequent faculty members. This award not only serves as a humble note of appreciation for Bob’s numerous accomplishments, it also acknowledges the critical role that postdoctoral fellows play in the scientific vibrancy of our department. Postdocs are not only highly skilled, accomplished and dedicated young scientists, they also are reference models for our graduate students and are the first to represent Vanderbilt at the next academic level.


Data Science Working Group Report Released

Posted on May 14, 2018

A data science institute, new faculty and technical staff, and expanded educational offerings are the key investments recommended by the Data Science Visions Working Group to leverage Vanderbilt’s collaborative culture and advance foundational research and data science skills across campus.

Click here for the Vanderbilt News story.

Click here for the Working Group report.


Palmeri becomes Associate Editor at Cognitive Psychology

Posted on Jan 1, 2018

With the start of 2018, I became an Associate Editor at Cognitive Psychology: Cognitive Psychology is concerned with advances in the study of attention, memory, language processing, perception, problem solving, and thinking. Cognitive Psychology specializes in extensive articles that have a major impact on cognitive theory and provide new theoretical advances.

Cognitive Psychology is one of the premier theoretical journals in the field, with an impact factor of 4.945.


New papers

Posted on Oct 31, 2017

Annis, J., & Palmeri, T.J. (in press). Bayesian statistical approaches to evaluating cognitive models. Wiley Interdisciplinary Reviews in Cognitive Science.

Dutilh, G., Annis, J., Brown, S.D., Cassey, P., Evans, N.J., Grasman, R.P.P.P., Hawkins, G.E., Heathcote, A., Holmes, W.R., Krypotos, A.-M., Kupitz, C.-N., Leite, F.P. Lerche, V., Lin, Y.S., Logan, G.D., Palmeri, T.J., Starns, J.J., Trueblood, J.S., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C.N., Wiecki, T.V., Rieskamp, J., & Donkin, C. (in press). The quality of response time data inference: A blinded, collaborative approach to the validity of cognitive models. Psychonomic Bulletin & Review.


New papers

Posted on Aug 20, 2017

New papers from the CatLab:

Cheng, X.J., McCarthy, C., Wang, T.S.L., Palmeri, T.J., & Little, D.R. (in press). Composite faces are not (necessarily) processed coactively: A test using Systems Factorial Technology and logical-rule models. Journal of Experimental Psychology: Learning, Memory, and Cognition.

Vogelsang, M.D., Palmeri, T.J., Busey, T.A. (2017). Holistic processing of fingerprints by expert forensic examiners. Cognitive Research: Principles and Implications, 2: 15.


Data Science Visions TIPs Funded

Posted on Aug 10, 2017

Vanderbilt has recently funded our TransInstitutional Programs (TIPs) proposal, Data Science Visions:
https://www.vanderbilt.edu/strategicplan/trans-institutional-programs/tips-2017/data-science-visions.php
Modern society, medicine, business, science, engineering and even the humanities are awash in data. The amount of data being produced is growing so fast that a new interdisciplinary field called data science has emerged to process, analyze, visualize and ultimately extract knowledge from the data. This initiative seeks to take the first steps in positioning Vanderbilt to be a leader in this critical new field. The initiative will identify and connect all the disparate islands of data science activity at Vanderbilt to create a unified data science community and spark cross-campus research collaborations. The initiative will also support new educational tracks and establish active partnerships with on-campus research groups and off-campus industry to provide immersive real-world training for students. More ambitiously, this TIPs award hopes to seed a sustainable, visible and internationally impactful activity with the future creation of a trans-institutional data science institute at Vanderbilt.

Palmeri will also be part of the Provost’s Working Group on Data Science:
https://news.vanderbilt.edu/2017/08/17/new-working-group-launches-for-big-data-and-data-science-initiatives
The Data Science Visions Working Group consists of 20 faculty members from a broad set of disciplines who will be engaged in this project over the next year and will report out to the provost and all the school and college deans, including Jeff Balser, president and CEO for Vanderbilt University Medical Center and dean of the School of Medicine.


New papers

Posted on Nov 10, 2016

Palmeri, T.J., Love, B.C., & Turner, B.M. (in press). Model-based cognitive neuroscience. Journal of Mathematical Psychology.

Schall, J.D. Palmeri, T.J., & Logan, G.D. (in press). Models of inhibitory control. Philosophical Transactions of the Royal Society B.

Shen, J., & Palmeri, T.J. (in press). Modeling individual differences in visual categorization. Visual Cognition. [PDF]