Before revision:  Our results demonstrate that, for certain operations, the accuracy of dendritic computation is on a par with or even surpasses the accuracy of an additional layer of neurons in the network. These findings allow modelers to construct large-scale models of neurobiological systems that closer approximate network topologies and computational resources available in biology. Our results may inform neuromorphic hardware design and could lead to a better utilization of resources on existing neuromorphic hardware platforms .
After revision:  Our results demonstrate that, for certain operations, the accuracy of dendritic computation is on a par with or even surpasses that of two-layer spiking neural networks up to a certain target function bandwidth .