CATLAB

Recent papers from the CatLab

Posted on Jun 25, 2011

Schall, J.D., Purcell, B.A., Heitz, R.P., Logan, G.D., & Palmeri, T.J. (2011). Neural mechanisms of saccade target selection: Gated accumulator model of visual-motor cascade. European Journal of Neuroscience.

Richler, J.J., Gauthier, I., & Palmeri, T.J. (2011). Automaticity of basic-level categorization accounts for labeling effects in visual recognition memory. Journal of Experimental Psychology: Learning, Memory, and Cognition.

Richler, J.J., Mack, M.L., Palmeri, T.J., & Gauthier, I. (2011). Inverted faces are (eventually) processed holistically. Vision Research.

Stephen Denton to join the CatLab

Posted on Jun 25, 2011

Stephen Denton will be joining the CatLab as a postdoctoral fellow this fall. Stephen earned his PhD from Indiana University with John Kruschke in 2009. His thesis was entitled Exploring active learning in a Bayesian framework. For the past two years he has remained at Indiana as a postdoctoral fellow with Rich Shiffrin and Rob Nosofsky. Stephen will be joining the lab in September.

Congratulations Dr. Mack!

Posted on May 21, 2011

On Friday May 20, Mike Mack successfully defended his dissertation entitled "The Dynamics of Categorization: Rapid Categorization Unraveled". Mike is moving on to a postdoctoral fellowship at UT Austin with Brad Love and Allison Preston.

VSS 2011 CatLab Posters

Posted on May 17, 2011

Michael Mack – The Dynamics of Categorization: Rapid Categorization Unraveled

Jonathan Folstein – Category learning causes differentiation of psychological dimensions in dimensional but not polar morphspaces

David Ross – Face Adaptation: Comparing Norm-­ and Exemplar-­Based Models

CatLab awarded Discovery Grant

Posted on Apr 19, 2011

Our lab has just been awarded a two-year Vanderbilt University Discovery Grant entitled "Online Web-based Experiments of Real-World Perceptual Expertise".

New undergraduate minor in Scientific Computing

Posted on Apr 5, 2011

Palmeri was part of a group that was a awarded an NSF grant (Revitalizing Computing Education Through Computational Science) to develop an undergraduate minor in Scientific Computing at Vanderbilt. The minor is now officially on the books: New Minor in Scientific Computing Launched.

It also has a web site: http://www.vanderbilt.edu/scientific_computing/

Students in the program in Scientific Computing are taught techniques for understanding complex physical, biological, and social systems. Students are introduced to computational methods for simulating and analyzing models of complex systems, to scientific visualization and data mining techniques needed to detect structure in massively large multidimensional data sets, to high performance computing techniques for simulating models on computing clusters with hundreds or thousands of parallel, independent processors and for analyzing terabytes or more of data that may be distributed across a massive cloud or grid storage environment.