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Recent Papers

Posted on Jul 14, 2020

Middlebrooks, P.G., Zandbelt, B.B., Logan, G.D., Palmeri, T.J., Schall, J.D. (in press). Unification of countermanding and perceptual decision-making. iScience.

Mack, M.L., & Palmeri, T.J. (in press). Discrimination, recognition, and classification. To appear in M.J. Kahana & A. Wagner (Eds.), Handbook on Human Memory, Oxford University Press.

Benear, S., Sunday, M.A., Palmeri, T.J., & Gauthier, I. (in press). Can art change the way we see? Psychology of Aesthetics, Creativity, and the Arts.

Palmeri, T.J. (2019). On developing and testing cognitive models. Computational Brain & Behavioral.

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Data Science Institute Welcomes DSI-SRP 2020 Fellows

Posted on Jun 2, 2020

The Vanderbilt Data Science Institute welcomed its second cohort of summer research fellows on June 1. The DSI Summer Research Program engages students who are interested in carrying out data science-related research with a Vanderbilt faculty member and integrates them into the institute’s community of data science scholars. This year the program is expanding its mission, as students will be required to dedicate at least 30 percent of their time working on COVID-19 related projects.

As Director of Undergraduate Research for the Data Science Institute, Thomas Palmeri oversees the DSI-SRP program.

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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

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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.

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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.

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