Before revision:  Finally, both the foveated systems, either texture or blur-based, show a stronger center image-bias relative to the spatially-uniform systems . These results demonstrate that foveation with peripheral texture-based computations yields an efficient, distinct, and robust representational format of scene information, and provides  computational insight into the representational consequences that texture-based peripheral encoding may have for processing in the human visual system .
After revision:  Finally, both the foveated systems, either texture or blur-based, show a stronger center image-bias relative to the spatially-uniform systems even with a weight sharing constraint. Critically, these results are preserved over different classical CNN architectures throughout their learning dynamics. Altogether, this suggests that foveation with peripheral texture-based computations yields an efficient, distinct, and robust representational format of scene information, and provides computational insight into the representational consequences that texture-based peripheral encoding may have for processing in the human visual system .