Recent progress in modeling neural mechanisms of form and color vision

摘要

Over the past 10 years a neural modeling approach to understanding form and color vision has driven a productive research program of psychophysical and neurophysiological modeling as well as further theoretical development. Along the way, it has led to psychophysical experiments and image-processing applications. This work has helped us to better understand how we can percieve surface colors to be constant despite environmental variablity through neural mechansims of contrast measurement and filling-in, how patterns of recurrent excitatory and inhibitory cortical connectivity can interact to segregate forms despite camouflage and occlusion, how these neural representations of forms can be dynamically reset so that we can perceive rapidly changing scenes, and how learned recognition categories can interact with preattentive form and color representations to achieve efficient visual search. This paper discusses this neural modeling approach and reviews recent progress.