Toward a Model of Attention and Cognition, Using a Parallel Distributed Processing Approach: Part 3: Consequences and Implications of the Sweeping Model
Abstract
This paper discusses the consequences of the Sweeping Model of attention and cognition, outlined elsewhere . The models' implications for various information processing activities are examined. According to this model, to remain flexible, the neural network requires a state like sleep, which would include activity corresponding to dreaming. Several of the characteristics of dreaming are related to the different physiological stages of sleep. Other aspects of the model discussed are state dependent learning and confabulation. Finally, additional supporting evidence concerning arousal and scope of attention, polyopia, and shifts of attention and PGO spikes are considered, then some general predictions and research directions are outlined