# Generative Memory Model **Domain:** Computational Neuroscience / Memory **Doc Type:** Research Concept Node **Maturity:** Active Research Framework **Related:** [[Variational Autoencoder]], [[Hippocampal Replay]], [[Autobiographical Memory]], [[Re-entry Pathways]] --- ## Definition A **generative memory model** treats recall as reconstruction from learned latent structure, current context, schemas, and partial cues rather than retrieval of an unchanged recording. The same architecture can explain generalization, future simulation, and systematic memory distortions. ## Continuity relevance If memory is reconstructive, preservation must retain the generative organization and re-entry conditions through which events regain meaning—not only a collection of static outputs.