Address event representation is a coding scheme used in neuromorphic systems to encode and transmit information based on the precise timing of spikes from neurons. Instead of using traditional sampling methods, this approach captures changes in the environment as events occur, leading to more efficient data processing and reduced power consumption. It mimics how biological neural networks operate, allowing for high-speed communication between neurons while preserving temporal information.
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