Dynamic link models for global decision making with binding-by-synchrony

We address the problem of integrating information about multiple objects and their positions on a visual scene. A primate visual system has fewer difficulties in rapidly achieving integration, given even when presented with several objects. Here, we propose a neurally plausible mechanism for simultaneously coordinating the local decision-making process of “what”- and “where”-information for the organization of global multi-object recognition. The mechanism is based on paradigms of binding-by-synchrony and dynamic link matching in a network system of the macrocolumnar cortical model. These paradigms are responsible for encoding an individual object and its position through a synchronization-desynchronization process among selected or unselected links of the objects.