A bio-inspired architecture of an active visual search model

A novel brain inspired cognitive system architecture of an active visual search model is presented. The model is multi-modular consisting of spatial and object visual processing, attention, reinforcement learning, motor plan and motor execution modules. The novelty of the model lies on its decision making mechanisms. In contrast to previous models, decisions are made from the interplay of a winner-take-all mechanism in the spatial, object and motor salient maps between the resonated by top-down attention and bottom-up visual feature extraction and salient map formation selectively tuned by a reinforcement signal spatial, object and motor representations, and a reset mechanism clue to inhibitory feedback input from the motor execution module to all other modules. The reset mechanism due to feedback inhibitory signals from the motor execution module to all other modules suppresses the last attended location from the saliency map and allows for the next gaze to be executed.