Congratulations, Joy!! 🌟🌟

Thank you Matilde for the warm welcome, very excited to be part of the team! 🤩

Very grateful to our team for their collaboration on this project: @praykov.bsky.social , @ayab.bsky.social , @chrismbird.bsky.social , Beth Jefferies

Please check out the paper for more findings on how mismatches impact memory and activity in cortical networks and subcortical regions-of-interest. To check out our pre-registrations and materials, please visit here: osf.io/p6z2g/
See an example video clip here: e01.eventmemory.org/ExampleVid_p...

These findings provide support to models of hippocampal function that identify a limited role in comparing incoming info with memories stored within the hippocampus. Conversely, models that propose a more general role in comparing broader contextual representations to reality should be re-evaluated.

Overall, regardless of general context-typicality, the hippocampus responded to events that mismatched specific episodic memories.

When people formed episodic memories of the Typical actions prior to scanning, the Atypical actions now increased hippocampal response (Exp2). When people prewatched the Atypical version of the clips, now the contextually appropriate Typical actions increased hippocampal response (Exp3).

In Exp1, when people hadn't seen any clips pre-scanning, hippocampal activity was not modulated by the expectedness of actions based on schema knowledge alone. However, in Exp2 and 3, when actions mismatched memories of the clips seen pre-scanning, hippocampal activity increased. (cont.)

Inside an fMRI scanner, people viewed clips of everyday events (e.g., doing the laundry), which could be Typical (putting clothes) or Atypical (putting flowers). To test what prior expectations the hippocampus uses to detect mismatches, we manipulated clip familiarity pre-scanning across experiments

The hippocampus is thought to detect mismatches by comparing expectations with reality. However, it was unclear whether it serves as a general mismatch detector, flagging any event that violates our general model of the world, or whether it monitors reality against specific episodic memories.

In daily life, we rely on our internal models of the world to predict what happens next—e.g., anticipating someone’s actions while they do laundry. 👇
But sometimes our prior expectations don’t match reality. These mismatches are important for updating our models and learning. How do we detect them?