William F. Broderick

This paper investigates how visual feature representation changes with eccentricity by comparing human perception and models of luminance and spectral energy.

The paper replicates and extends a model of spatial frequency tuning in human visual cortex, showing consistent parameters across datasets and revealing increased tuning bandwidth in higher visual areas.

The paper maps spatial frequency preferences in human primary visual cortex using fMRI, finding a relationship between preferred spatial frequency and eccentricity, with small effects from stimulus orientation.

This paper uses Bayesian nonparametric models to analyze dynamic strategic interactions in a competitive game, quantifying agent behavior through Gaussian Processes and reinforcement learning frameworks.