Recent PNAS paper highlighted by Vanderbilt News
Research News@Vanderbilt recently did a story about our PNAS paper, “Response times from ensembles of accumulators”: http://news.vanderbilt.edu/2014/02/number-of-neurons/
Read MoreResearch News@Vanderbilt recently did a story about our PNAS paper, “Response times from ensembles of accumulators”: http://news.vanderbilt.edu/2014/02/number-of-neurons/
Read MoreZandbelt, B.B., Purcell, B.A., Palmeri, T.J., Logan, G.D., Schall, J.D. (2014). Response times from ensembles of accumulators. Proceedings of the National Academy of Sciences. [PDF]
Decision making is explained by psychologists through stochastic accumulator models and by neurophysiologists through the activity of neurons believed to instantiate these models. This paper investigated an overlooked scaling problem: How does a response time (RT) that can be explained by a single model accumulator arise from numerous, redundant accumulator neurons, each of which individually appears to explain the variability of RT?
Read MoreThree new papers. Two in the Oxford Handbook of Computational and Mathematical Psychology and one in An Introduction to Model-Based Cognitive Neuroscience.
Palmeri, T.J., Schall, J.D. & Logan, G.D. (in press). Neurocognitive modeling of perceptual decision making. To appear in J.R. Busemeyer, J. Townsend, Z.J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology, Oxford University Press. [PDF]
Nosofsky, R.M., & Palmeri, T.J. (in press). Exemplar-based random walk model. To appear in J.R. Busemeyer, J. Townsend, Z.J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology, Oxford University Press. [PDF]
Logan, G.D., Schall, J.D., & Palmeri, T.J. (in press). Inhibitory control in mind and brain: The mathematics and neurophysiology of the underlying computation. To appear in B. Forstmann & E.J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience, Springer Neuroscience. [PDF]
Read MoreNew Papers
Palmeri, T.J. (in press). An exemplar of model-based cognitive neuroscience. Trends in Cognitive Science. [PDF]
Richler, J.J., & Palmeri, T.J. (in press). Visual category learning. To appear in Wiley Interdisciplinary Reviews in Cognitive Science. [PDF]
Upcoming Conference Presentations
Palmeri, T.J. (2013). Neurocognitive modeling of perceptual decision making. To be presented at Interfacing Models with Brain Signals to Investigate Cognition, UC Irvine, CA.
Richler, J.J., Palmeri, T.J., & Gauthier, I. (2013). The effects of varying configuration in the composite task support an attentional account of holistic processing. To be presented at Object Perception and Memory (OPAM), Toronto, Ontario, Canada.
Middlebrooks, P.G., Schall, J.D., Palmeri, T.J., & Logan, G.D. (2013). Modeling response time and accuracy of perceptual choice during a stop-signal task. To be presented at the Society for Neuroscience meeting, San Diego, CA.
Zandbelt, B.B., Schall, J.D., Palmeri, T.J., & Logan, G.D. (2013). Modeling response time and accuracy during a stop-signal task: Stimulus-response choice. To be presented at the Society for Neuroscience meeting, San Diego, CA.
Read MoreThe National Science Foundation has officially awarded our lab a new grant entitled “Perceptual Categorization in Real-World Expertise”. Now the work begins.
Read MoreCongrats to former CatLab graduate student Alan Wong,
who just earned tenure at the Chinese University of Hong Kong. Well deserved!
Read More