Temporal encoding is a method of representing information through the timing of events or spikes, rather than relying on amplitude or other signal characteristics. This approach allows systems to process information in a way that mimics biological neural networks, where the precise timing of spikes can convey different meanings. This technique is particularly useful in event-based computation and asynchronous systems, as it enables more efficient processing and reduces power consumption.
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