A Bayesian framework for simultaneously modeling neural and behavioral data. - Brandon M. Turner; Birte U. Forstmann; Eric-Jan Wagenmakers; Scott D. Brown; Per B. Sederberg; Mark Steyvers (NeuroImage, 2013)

Forecast aggregation via recalibration. - Brandon M. Turner; Mark Steyvers; Edgar C. Merkle; David V. Budescu; Thomas S. Wallsten (Mach. Learn., 2014)

Evidence Accumulation Modeling: Bayesian Estimation using Differential Evolution. - Andrew Heathcote; Brandon M. Turner; Scott D. Brown (CogSci, 2015)

Why more is better: Simultaneous modeling of EEG, fMRI, and behavioral data. - Brandon M. Turner; Christian A. Rodriguez; Anthony M. Norcia; Samuel M. McClure; Mark Steyvers (NeuroImage, 2016)

Factor analysis linking functions for simultaneously modeling neural and behavioral data. - Brandon M. Turner; Ting Wang; Edgar C. Merkle (NeuroImage, 2017)

Outlook on deep neural networks in computational cognitive neuroscience. - Brandon M. Turner; Steven Miletic; Birte U. Forstmann (NeuroImage, 2018)

Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability. - Garren Gaut; Brandon M. Turner; Zhong-Lin Lu; Xiangrui Li; William A. Cunningham; Mark Steyvers (Brain Connect., 2019)

Individual Differences in the Neural Dynamics of Response Inhibition. - M. Fiona Molloy; Giwon Bahg; Zhong-Lin Lu; Brandon M. Turner (J. Cogn. Neurosci., 2019)

Distributed Neural Systems Support Flexible Attention Updating during Category Learning. - Emily R. Weichart; Daniel G. Evans; Matthew Galdo; Giwon Bahg; Brandon M. Turner (J. Cogn. Neurosci., 2022)

The Role of Attention in Category Representation. - Mengcun Gao; Brandon M. Turner; Vladimir M. Sloutsky (Cogn. Sci., 2024)