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Developing intelligent neuromorphic solutions remains a challengingendeavour. It requires a solid conceptual understanding of the hardware'sfundamental building blocks. Beyond this, accessible and user-friendlyprototyping is crucial to speed up the design pipeline. We developed an opensource Loihi emulator based on the neural network simulator Brian that caneasily be incorporated into existing simulation workflows. We demonstrateerrorless Loihi emulation in software for a single neuron and for a recurrentlyconnected spiking neural network. On-chip learning is also reviewed andimplemented, with reasonable discrepancy due to stochastic rounding. This workprovides a coherent presentation of Loihi's computational unit and introduces anew, easy-to-use Loihi prototyping package with the aim to help streamlineconceptualisation and deployment of new algorithms.

Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian