Complex augmentation in autonomie EEG-Cayley neural network: Integrating bipartite-trivalent graph with Erdos-Renyi in EEG network modelling

摘要

Cayley graph is used in representing the complex augmentation of autonomie EEG neural network with bipartite, trivalent and Erdos-Renyi models. The augmentation was used in determining an efficient communication, data and information transmission in EEG neural network. The geometric properties of EEG neural network augmented in autonomie Cayley neural network is used in the processing and transmission of EEG data. The correlation between directed communication path and optimum information transfer path ensured that EEG data and information were transmitted effortlessly to the end effector and end user. EEG network centrality revealed the geometric property of the neural network. The paper proposed the use of Cayley diagrams and graphs in the representation of autonomie EEG neural networks.