Biological Memory for Edge Devices

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Your brain runs two separate memory systems and a nightly maintenance cycle to learn continuously without forgetting. The hippocampus captures new experiences fast. Sleep replays them into the neocortex for long-term storage, prioritized by surprise, not frequency. A parallel pruning pass reclaims capacity. Standard AI has none of this architecture, which is why deployed models degrade. In this episode, we trace the biological mechanism, examine why experience replay in reinforcement learning captures only a fraction of the design, and ask whether a microcontroller or neuromorphic chip can implement the full consolidation cycle within a fixed memory budget. The research says yes.

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