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With the increased sophistication of AI techniques, the application of thesesystems has been expanding to ever newer fields. Increasingly, these systemsare being used in modeling of human aesthetics and creativity, e.g. how humanscreate artworks and design products. Our lab has developed one such AIcreativity deep learning system that can be used to create artworks in the formof images and videos. In this paper, we describe this system and its use instudying the human visual system and the formation of aesthetic experiences.Specifically, we show how time-based AI created media can be used to explorethe nature of the dual-pathway neuro-architecture of the human visual systemand how this relates to higher cognitive judgments such as aestheticexperiences that rely on these divergent information streams. We propose atheoretical framework for how the movement within percepts such as video clips,causes the engagement of reflexive attention and a subsequent focus on visualinformation that are primarily processed via the dorsal stream, therebymodulating aesthetic experiences that rely on information relayed via theventral stream. We outline our recent study in support of our proposedframework, which serves as the first study that investigates the relationshipbetween the two visual streams and aesthetic experiences.

Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways