Abstract

Combining highly efficient nanophotonic structures into artificial neural networks hold significant promise for superior hardware solutions [1]. Well-defined circuit architectures and concepts, with limited size and clear functionality are useful to develop and verify such novel concepts. Insects are capable of amazing autonomous feats well beyond current computers, such as navigating across hundreds of kilometres of unfamiliar terrain, with only a few drops of nectar as energy supply. One important module of the insect brain, conserved across species with vastly different lifestyles, is the central complex navigation circuit. This has been distilled to its fundamental neuroarchitecture and the function of a number of its components into a biologically constrained computational model [2].

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