What is it about?
In this paper, the multiagent methods are deployed for analysing complex brain activities. The brain functionalities are associated through multiagents. This paper adopts multi-agent-based methods to analyze EEG data sets, which can enhance the analytical efficiency through incorporating autonomous, self-coordination characteristics of agents. Intelligent agents are autonomous applications that can improve system compatibility. The preliminary results indicate that the combination of time-dependency correlation method with multi-agent method is an efficient solution for brain activity recognition.
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Why is it important?
The automous characteristc of multiagents can improve the current brain analytical performance. Moreover, agents can form a neuron-like complex connectivity network that can imitate brain network.
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This page is a summary of: Complex brain activity analysis and recognition based on multiagent methods, Concurrency and Computation Practice and Experience, June 2020, Wiley,
DOI: 10.1002/cpe.5855.
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