Architectures · advanced · concept 104 of 311 · Updated Nov 4, 2026
Spiking Networks & Neuromorphic Computing
Spiking neural networks communicate with brief pulses over time, closer to real neurons than standard networks. Neuromorphic chips are built to run them, using very little power because units only work when a spike arrives. The appeal is efficiency at the edge. Training them is harder, and so far they have not matched mainstream deep learning on most large tasks.
Key terms
SpikesEvent-driven computingNeuromorphic chipsEnergy efficiencyBrain-inspired hardware
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Where you meet it in the real world
Low-power sensing, event cameras, research hardware
Guides and articles
Spiking neural network ↗
Wikipedia
Deep Learning in Spiking Neural Networks ↗
Tavanaei and others