An adaptive neuro-information kernel to impose visual organization

We discuss a multilayered feedforward neural anatomy where a possible platform is developed to reconcile the local distributed visual data into an information kernel that emerges by the cell spatio-temporal relationships. The idea basically relates to the disposition of responsive cell receptive field (RF) properties in the human multilayered vision system. This unfolds from the spatial and dynamical nature of stimuli and their evoked intertwined structural profiles. In this respect, we show that the local neural processes are derived from luminance-generated properties to impose meta-masks and configure short-range RF profiles. While the non-luminance stimulus properties impose time-dependent masks by response synchrony of local cells responding to common scene events, and propagate structural disparities. The paper shows that such view of the problem can provide a bedding to introduce an information-kernel approach for adaptive visual organization. In this scheme, the local cell responses are configured to represent alternative perspectives of the visual stimulus. The system performed by the cells response disparity ensuing from direct interactions between luminance/non-luminance evoked events.