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Recently, new applications of intelligent systems like service robots and cognitive automobiles have been emerging. The success of these new applications will mainly lie in their ability to incrementally learn through multimodal interaction with their environment and with humans. Advances have been made both in interacting with the environment through the development of elementary sensorimotor skills...
In this paper, we discuss multisensory information representation and associative learning in multimodal integration. First, we provide a brief overview of anatomical structure and neural information pathways of multimodal cortexes. Then we formulate the multimodal integration problem into a framework of statistical learning. The associative learning algorithm is proposed to adapt the representation...
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