A Neural Architecture Search based Framework for Liquid State Machine Design

7 Apr 2020 Shuo Tian Lianhua Qu Kai Hu Nan Li Lei Wang Weixia Xu

Liquid State Machine (LSM), also known as the recurrent version of Spiking Neural Networks (SNN), has attracted great research interests thanks to its high computational power, biological plausibility from the brain, simple structure and low training complexity. By exploring the design space in network architectures and parameters, recent works have demonstrated great potential for improving the accuracy of LSM model with low complexity... (read more)

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