PMID-14983183[0] Off-line replay maintains declarative memories in a model of hippocampal-neocortical interactions
- (i'm skimming the article)
- The neocortex acts as a probabilistic generative model. unsupervised learning extracts categories, tendencies and correlations from the statistics of the inputs into the [synaptic weights].
- Their hypothesis is that hippocampal replay is required for maintenance of episodic memories; their model and simulations support this.
- quote: "However, the computational goal of episodic learning is storing individual events rather than discovering statistical structure, seemingly rendering consolidation inappropriate. If initial hippocampal storage of the episode already ensures that it can later be recalled episodically, then, barring practical advantages such as storage capacity (or perhaps efficiency), there seems little point in duplicating this capacity in neocortex." makes sense!
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