Design And Optimization Of Spiking Neural Networks For Energy-efficient Neuromorphic Computing

Abstract

The Increasing Complexity Of Data-driven Tasks And Human-machine Interactions Necessitates The Development Of Computing Systems That Can Mimic The Human Brain's Efficiency In Pattern Recognition And Decision-making. Traditional Computing Architectures, Ba

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