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SPIKING NEURAL NETWORKS

Sparsity provides a competitive advantage

Nature Machine Intelligence volume 3, pages 742–743 (2021)Cite this article

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Neuromorphic chips that use spikes to encode information could provide fast and energy-efficient computing for ubiquitous embedded systems. A bio-plausible spike-timing solution for training spiking neural networks that makes the most of sparsity is implemented on the BrainScaleS-2 hardware platform.

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Fig. 1: TTFS encoding and deployment in neuromorphic hardware.

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Authors and Affiliations

  1. Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland

    Charlotte Frenkel

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  1. Charlotte Frenkel
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Correspondence to Charlotte Frenkel.

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The author declares no competing interests.

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Frenkel, C. Sparsity provides a competitive advantage. Nat Mach Intell 3, 742–743 (2021). https://doi.org/10.1038/s42256-021-00387-y

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