The reactivation content was way more specific to the experience in controls.
Overall, our data shows that both reactivations and consolidation relies on intact PV+ activity locally in the cortex.

Next we looked at the activity in post-training rest. Reactivations in controls were biased to the rewarded cue and persisted for hours, but with hM4Di activation the reactivations barely happened, despite higher overall activity in the population

We used RiboL1 jGCaMP8 to image large populations of neurons during training and rest. Controls developed a bias to the rewarded cue while the responses in hM4Di mice remained exactly like the naive state

We found no effect on cortico-hippocampal synchrony - ripple and spindle activity was intact and synchronized, showing that the effects only applied to the local network

Using this setup we show that post-training reduction of PV+ activity completely prevented learning. On off-days with saline injections the mice improved, but reverted to chance levels after a single hM4Di activation

Are cue-specific reactivations in the cortex necessary for consolidation and learning? To address this we targeted neural activity in POR after daily training in a Go/NoGo task

New paper out with @hafting.bsky.social and @markandermann.bsky.social lab on reactivations and memory consolidation : www.science.org/doi/10.1126/...

New preprint out in eLife! Neurons in medical entorhinal cortex (MEC) develop responses to visual cues and reward as mice learn a visual Go/NoGo task. elifesciences.org/reviewed-pre...

I’m so excited to share our preprint on how brainstem neurons sense and integrate multiple body signals during food consumption. We imaged 1000s of neurons across the lateral parabrachial nucleus (LPBN) in behaving mice. www.biorxiv.org/content/10.1...

In this preprint we see how activity in entorhinal cortex change during learning a non-spatial visual association task. Neurons in the MEC initially exhibited weak responses to visual cues but gradually developed strong tuning toward the rewarded trials. doi.org/10.1101/2024...