Sound waves allow neuromorphic devices to mimic biological neurons more accurately than electronic circuits. This approach increases processing speed and lowers energy consumption for complex pattern recognition. Researchers at Xiaodong Yan's lab suggest this method enables more compact, parallel hardware. Practitioners can expect more efficient sensory processing in future neuromorphic computing architectures.