Building Bridges Between Neurons: The Brian2Loihi Emulator

Published on November 9, 2022

Just as a bridge connects two separate places, the Brian2Loihi emulator acts as a bridge between our understanding of neuromorphic hardware and its practical application. This open source emulator, based on the neural network simulator Brian, makes it easier for scientists to prototype and test intelligent solutions using the Loihi chip. By emulating single neurons and spiking neural networks, the researchers demonstrate how the emulation accurately replicates the behavior of Loihi. They even implement on-chip learning, although with some slight discrepancies due to stochastic rounding. Overall, this work provides a comprehensive overview of Loihi’s computational unit and presents a new prototyping package that simplifies the process of developing new algorithms. If you’re interested in exploring the world of neuromorphic computing and how to harness its potential, I highly recommend checking out the full article!

Developing intelligent neuromorphic solutions remains a challenging endeavor. It requires a solid conceptual understanding of the hardware’s fundamental building blocks. Beyond this, accessible and user-friendly prototyping is crucial to speed up the design pipeline. We developed an open source Loihi emulator based on the neural network simulator Brian that can easily be incorporated into existing simulation workflows. We demonstrate errorless Loihi emulation in software for a single neuron and for a recurrently connected spiking neural network. On-chip learning is also reviewed and implemented, with reasonable discrepancy due to stochastic rounding. This work provides a coherent presentation of Loihi’s computational unit and introduces a new, easy-to-use Loihi prototyping package with the aim to help streamline conceptualization and deployment of new algorithms.

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