Abstract
Decision-making is a fundamental task in both brain functions and AI applications. In this study, we develop a brain-inspired decision-making network for spatio-temporal pattern recognition. We analyze the mechanism and properties of the proposed model using synthetic data and demonstrate the potential application of the model in speech recognition.
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