A leaky integrate-and-fire spiking network matches or beats recurrent convolutional networks on simulated crack growth and Turing pattern prediction while using far fewer parameters.
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Neural Network Modeling of Microstructure Complexity Using Digital Libraries
A leaky integrate-and-fire spiking network matches or beats recurrent convolutional networks on simulated crack growth and Turing pattern prediction while using far fewer parameters.