Encoding activity predicts distinct recognition signals during working and long-term memory in the human hippocampus
Neurocomputational models predict that episodic memories are represented by sparse, pattern-separated hippocampal codes. Recognition within working memory capacity may instead rely on overlapping cortical codes. We analyzed human intracranial microwire recordings during a continuous recognition task to test whether retrieval demand and spiking activity at encoding determine which neural signal is…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
