Non-random brain connectome wiring enables robust and efficient neural network function under high sparsity
By analyzing Echo State Networks based on the Drosophila connectome, this study demonstrates that non-random wiring features, particularly excess neuronal self-recurrency, enable sparse biological networks to achieve robust and efficient computation that outperforms random sparse networks in stability and task engagement.