@manfredic.bsky.social
DPhil candidate in the Dupret Lab at the MRC BNDU - University of Oxford
Makes sense about SfN!
Yeah very interesting things might be going on from CA1 to PFC ! Very cool discussion :)
Yeah very interesting things might be going on from CA1 to PFC ! Very cool discussion :)
October 7, 2025 at 10:15 AM
Makes sense about SfN!
Yeah very interesting things might be going on from CA1 to PFC ! Very cool discussion :)
Yeah very interesting things might be going on from CA1 to PFC ! Very cool discussion :)
Yes these are all extremely interesting points to think about. I mean based on the link between deep cells and PFC shown by Harvey (and cool stuff in PFC by El Gaby 2024), I think you might be correct 😊 not sure if you will be at SfN but happy to chat more about it then!
October 4, 2025 at 12:56 PM
Yes these are all extremely interesting points to think about. I mean based on the link between deep cells and PFC shown by Harvey (and cool stuff in PFC by El Gaby 2024), I think you might be correct 😊 not sure if you will be at SfN but happy to chat more about it then!
In line with this, we show that superficial cells are more biased to recent motifs.
Howevere, throughout post-sleep, LMsink prior motifs gradually shift to recent ones, mainly driven by deep cells (Fig. S7). We suggest in the discussion that this may involve hippocampal–entorhinal loop dynamics.
Howevere, throughout post-sleep, LMsink prior motifs gradually shift to recent ones, mainly driven by deep cells (Fig. S7). We suggest in the discussion that this may involve hippocampal–entorhinal loop dynamics.
October 3, 2025 at 1:15 PM
In line with this, we show that superficial cells are more biased to recent motifs.
Howevere, throughout post-sleep, LMsink prior motifs gradually shift to recent ones, mainly driven by deep cells (Fig. S7). We suggest in the discussion that this may involve hippocampal–entorhinal loop dynamics.
Howevere, throughout post-sleep, LMsink prior motifs gradually shift to recent ones, mainly driven by deep cells (Fig. S7). We suggest in the discussion that this may involve hippocampal–entorhinal loop dynamics.
Across contexts, however, superficial cells are more plastic, showing stronger context specificity and novelty-driven synaptic changes (www.sciencedirect.com/science/arti...; & www.sciencedirect.com/science/arti...)
Hippocampo-cortical circuits for selective memory encoding, routing, and replay
Traditionally considered a homogeneous cell type, hippocampal pyramidal cells have been recently shown to be highly diverse. However, how this cellula…
www.sciencedirect.com
October 3, 2025 at 1:10 PM
Across contexts, however, superficial cells are more plastic, showing stronger context specificity and novelty-driven synaptic changes (www.sciencedirect.com/science/arti...; & www.sciencedirect.com/science/arti...)
Thank you, James, for the kind words. I see your point. Within one context, deep cells are often more “plastic,” anchoring to local cues, while superficial cells are more rigid, tied to global cues (www.sciencedirect.com/science/arti...)
October 3, 2025 at 1:08 PM
Thank you, James, for the kind words. I see your point. Within one context, deep cells are often more “plastic,” anchoring to local cues, while superficial cells are more rigid, tied to global cues (www.sciencedirect.com/science/arti...)
Hope this answers your question, and happy to chat more at SfN this year? :)
October 3, 2025 at 1:07 PM
Hope this answers your question, and happy to chat more at SfN this year? :)
That is a very exciting point! We did not directly test how the distance between prior and recent patterns shapes the dynamics, but we kinda did indirectly: our recent-to-prior balance measure quantifies, for each ripple, how strongly the motif aligns with prior vs. recent patterns.
October 3, 2025 at 1:06 PM
That is a very exciting point! We did not directly test how the distance between prior and recent patterns shapes the dynamics, but we kinda did indirectly: our recent-to-prior balance measure quantifies, for each ripple, how strongly the motif aligns with prior vs. recent patterns.
We found that only during LMsink ripples the prior patterns gradually drift toward recent ones (Fig. 7D–F). At the same time, these motifs also reappear with additional neurons in Radsink ripples; so we concluded that Radsink motifs are composite versions of the prior motifs expressed in LMsink.
October 3, 2025 at 1:02 PM
We found that only during LMsink ripples the prior patterns gradually drift toward recent ones (Fig. 7D–F). At the same time, these motifs also reappear with additional neurons in Radsink ripples; so we concluded that Radsink motifs are composite versions of the prior motifs expressed in LMsink.
Thanks, Ben! We did not specifically look at sequential replay but at coactivity patterns in ripples and how they related to pre-sleep (prior) vs. exploration (recent). (Replying below to your other points due to characters limit 😉)
October 3, 2025 at 1:00 PM
Thanks, Ben! We did not specifically look at sequential replay but at coactivity patterns in ripples and how they related to pre-sleep (prior) vs. exploration (recent). (Replying below to your other points due to characters limit 😉)
This was the core of my PhD project and I feel very fortunate to have carried it out in such a great lab, learning immensely from
@vitorlds.bsky.social and David. I also thank the reviewers, whose input greatly improved the paper.
(11/11)
@vitorlds.bsky.social and David. I also thank the reviewers, whose input greatly improved the paper.
(11/11)
October 2, 2025 at 3:50 PM
This was the core of my PhD project and I feel very fortunate to have carried it out in such a great lab, learning immensely from
@vitorlds.bsky.social and David. I also thank the reviewers, whose input greatly improved the paper.
(11/11)
@vitorlds.bsky.social and David. I also thank the reviewers, whose input greatly improved the paper.
(11/11)
We propose that ripple diversity tunes the activity, structure, and neuronal content of population patterns, supporting two parallel channels: one consolidating recent experience, the other updating prior memory.
Check the paper out: sciencedirect.com/science/arti...
(10/11)
Check the paper out: sciencedirect.com/science/arti...
(10/11)
Hippocampal ripple diversity organizes neuronal reactivation dynamics in the offline brain
Hippocampal ripples are highly synchronized neuronal population patterns reactivating past waking experiences in the offline brain. Whether the level,…
sciencedirect.com
October 2, 2025 at 3:50 PM
We propose that ripple diversity tunes the activity, structure, and neuronal content of population patterns, supporting two parallel channels: one consolidating recent experience, the other updating prior memory.
Check the paper out: sciencedirect.com/science/arti...
(10/11)
Check the paper out: sciencedirect.com/science/arti...
(10/11)
In sum, Radsink ripple coactivity was stably aligned with recent waking motifs throughout post-exploration sleep. LMsink ripple coactivity initially reflected prior motifs but gradually drifted toward recent motifs, eventually reaching levels comparable to Radsink ripples.
(9/11)
(9/11)
October 2, 2025 at 3:49 PM
In sum, Radsink ripple coactivity was stably aligned with recent waking motifs throughout post-exploration sleep. LMsink ripple coactivity initially reflected prior motifs but gradually drifted toward recent motifs, eventually reaching levels comparable to Radsink ripples.
(9/11)
(9/11)
Radsink ripples consistently aligned with recently acquired motifs and stayed stable throughout sleep. LMsink ripples expressed prior motifs but gradually disengaged from them, drifting toward recent motifs.
(8/11)
(8/11)
October 2, 2025 at 3:49 PM
Radsink ripples consistently aligned with recently acquired motifs and stayed stable throughout sleep. LMsink ripples expressed prior motifs but gradually disengaged from them, drifting toward recent motifs.
(8/11)
(8/11)
Looking at CA1 sublayers, both deep and superficial principal cells reactivated their waking theta coactivity during Radsink ripples. In contrast, during LMsink ripples only deep CA1 cells showed significant reactivation.
(7/11)
(7/11)
October 2, 2025 at 3:49 PM
Looking at CA1 sublayers, both deep and superficial principal cells reactivated their waking theta coactivity during Radsink ripples. In contrast, during LMsink ripples only deep CA1 cells showed significant reactivation.
(7/11)
(7/11)
We then asked how ripple types structure coactivity motifs in CA1. LMsink ripples contained sparse, low dimensional motifs that acted as a core. During Radsink ripples these motifs reappeared with additional neurons, forming denser, composite patterns.
(6/11)
(6/11)
October 2, 2025 at 3:48 PM
We then asked how ripple types structure coactivity motifs in CA1. LMsink ripples contained sparse, low dimensional motifs that acted as a core. During Radsink ripples these motifs reappeared with additional neurons, forming denser, composite patterns.
(6/11)
(6/11)
CA1 and CA3 principal cells fired at higher rates during Radsink ripples than during LMsink ripples. The timing of their responses also differed across types and aligned with current sinks in radiatum, lacunosum moleculare, and DG molecular layers.
(5/11)
(5/11)
October 2, 2025 at 3:48 PM
CA1 and CA3 principal cells fired at higher rates during Radsink ripples than during LMsink ripples. The timing of their responses also differed across types and aligned with current sinks in radiatum, lacunosum moleculare, and DG molecular layers.
(5/11)
(5/11)
Next, we asked how ripple types engage neuronal populations. Using tetrode recordings from CA1 and CA3, we classified ripple types directly from LFP traces with our open source tool. The code is available here; feel free to check it out and use it in your own work:
🔗 github.com/mcastelli98/...
🔗 github.com/mcastelli98/...
October 2, 2025 at 3:47 PM
Next, we asked how ripple types engage neuronal populations. Using tetrode recordings from CA1 and CA3, we classified ripple types directly from LFP traces with our open source tool. The code is available here; feel free to check it out and use it in your own work:
🔗 github.com/mcastelli98/...
🔗 github.com/mcastelli98/...
To relate ripple types to sleep dynamics, we examined their distribution across cortical up and down states, inferred from DG activity. The proportion of LMsink ripples was higher in up states, suggesting cortical inputs bias ripple profiles.
(3/11)
(3/11)
October 2, 2025 at 3:47 PM
To relate ripple types to sleep dynamics, we examined their distribution across cortical up and down states, inferred from DG activity. The proportion of LMsink ripples was higher in up states, suggesting cortical inputs bias ripple profiles.
(3/11)
(3/11)
To look at the currents driving ripples, we used current source density (CSD). The average showed the expected sink in CA1 radiatum, but individual ripples differed. We consistently found two types, Radsink and LMsink, differing in frequency and waveform.
(2/11)
(2/11)
October 2, 2025 at 3:46 PM
To look at the currents driving ripples, we used current source density (CSD). The average showed the expected sink in CA1 radiatum, but individual ripples differed. We consistently found two types, Radsink and LMsink, differing in frequency and waveform.
(2/11)
(2/11)
Hippocampal ripples are brief, synchronous network events during sleep and rest that are thought to support memory reactivation. We often associate them with sharp-waves from CA3 inputs to CA1 stratum radiatum… but it turns out things are not that simple.
(1/11)
(1/11)
October 2, 2025 at 3:46 PM
Hippocampal ripples are brief, synchronous network events during sleep and rest that are thought to support memory reactivation. We often associate them with sharp-waves from CA3 inputs to CA1 stratum radiatum… but it turns out things are not that simple.
(1/11)
(1/11)
Impressive work congratulations!!
Amazing figures 🙌🏻
Amazing figures 🙌🏻
July 2, 2025 at 8:51 AM
Impressive work congratulations!!
Amazing figures 🙌🏻
Amazing figures 🙌🏻
Very happy you found this exciting! 😃
March 19, 2025 at 9:01 PM
Very happy you found this exciting! 😃