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Sparsity provides a competitive advantage

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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Correspondence to Charlotte Frenkel.

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Frenkel, C. Sparsity provides a competitive advantage. Nat Mach Intell 3, 742–743 (2021).

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