Neuroscience inspired neural operator for partial differential equations

Shailesh Garg, Souvik Chakraborty

Abstract: Highlights•Neuroscience inspired operator learning is proposed for scientific computing.•Proposed VS-WNO promotes sparse communications and is energy efficient.•We introduce a tailored spiking loss function to limit spiking activity.•Numerical examples solved illustrate accuracy and energy efficiency of VS-WNO.