A Cognitive Model for Data Integration and Generalization Inspired by the Human Neocortex
thesisposted on 08.04.2018 by PIN HUANG
In order to distinguish essays and pre-prints from academic theses, we have a separate category. These are often much longer text based documents than a paper.
In the current data rich environment, relatively little work has been done to design a holistic approach to perform data generalization, sequence capturing, data integration and prediction, while the human neocortex has the capability to achieve all of these functions as a whole. For this reason, the human neocortex is used as a biological inspiration for this research. The research has developed a novel brain inspired model for data generalization, sequence capturing and data integration, which can then be used for predicting future events and for predicting missing aspects in the input data.