James R. Golden

The paper quantifies selectivity and invariance of neural responses using principal curvatures of response surfaces in a sparse coding network model of V1.

This paper presents a computational framework to simulate visual perception with a retinal prosthesis and assesses how learning might improve inferred visual perception.

This study shows that neuronal computations for motion detection in dragonflies and macaques similarly combine low- and high-order motion cues, suggesting a shared computational strategy.

This study simulates retinal encoding to identify factors limiting Vernier acuity, finding that Poisson absorptions and eye movements are critical.