Replacing heavy floating-point matrix multiplications with event-based temporal synaptic integrations.
Spiking neural networks leverage the exact microsecond arrival time of action potentials rather than average firing rates, achieving high decoding precision with 90% fewer computations.
Hardware implementations on asynchronous silicon operate without global clock trees, drawing dynamic power only when active spikes traverse synaptic connections.