Distributed memory architectures refer to a system design where memory is not shared but is instead distributed across multiple processors or nodes. Each node has its own private memory and communicates with others via a network. This approach is particularly relevant for neuromorphic systems, as it allows for parallel processing and enhances scalability, efficiency, and fault tolerance.
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