  Bio-inspired computing has focused on neuron and synapses with great success.
However, the connections between these, the dendrites, also play an important
role. In this paper, we investigate the motivation for replicating dendritic
computation and present a framework to guide future attempts in their
construction. The framework identifies key properties of the dendrites and
presents and example of dendritic computation in the task of sound
localisation. We evaluate the impact of dendrites on an BiLSTM neural network's
performance, finding that dendrite pre-processing reduce the size of network
required for a threshold performance.
