Beyond binding: from modular to natural vision.

The classical view of visual cortex organization as a collection of specialized modules processing distinct features like color and motion has profoundly influenced neuroscience for decades. This framework, rooted in historical philosophical distinctions between qualities, gave rise to the 'binding problem': how the brain integrates these separately processed features into coherent percepts. We present converging evidence from electrophysiology, neuroimaging, and lesion studies that challenges this framework. We argue that the binding problem may be an artifact of theoretical assumptions rather than a real computational challenge for the brain. Drawing insights from deep neural networks (DNNs) and recent empirical findings, we propose a framework where the visual cortex represents naturally co-occurring patterns of information rather than processing isolated features that need binding.