Journal of Digital Information Management Harrison Stewart 20 4 2022 https://doi.org/10.6025/jdim/2022/20/4/115-130 https://www.dline.info/fpaper/jdim/v20i4/jdimv20i4_1.pdf Earlier research by our team have focussed the multilayer SAM spiking neural network using training algorithms for implementing FPGA. In the current work we have outlined the utilization of SAM-based network for developing function approximation. We have deployed the spike coding model for the work. In the testing we have proved that the “interpolated XOR” and 3-polynominal function approximation of this SAM network. We found that the SAM network has the ability to perform these function approximations to high accuracy.