Manfredi Castelli

Manfredi Castelli

@manfredic.bsky.social

Post-doctoral researcher at Charité Berlin. PhD in the Dupret Lab at the MRC BNDU - University of Oxford

95 followers85 following33 posts

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Manfredi Castelli
@manfredic.bsky.social

2. Different durations were represented along the same trajectory, with trial-by-trial differences in timing reflected in coordinated changes in traversal speed across neurons and brain regions.

Manfredi Castelli
@manfredic.bsky.social

1. Despite heterogeneous single-neuron responses, elapsed time was represented across all recorded brain regions, with population activity organized along a shared low-dimensional trajectory.

Manfredi Castelli
@manfredic.bsky.social

A great preview of our recent paper on ripple diversity, placing it in the context of recent work and highlighting how it will shape future studies of ripple diversity 🧠

Liset M. de la Prida@lmprida.bsky.social

What is a 🧠 ripple? See our @cellpress.bsky.social perspective on ripple diversity and the grammar of memory replay: connecting key pieces from current work across the field. 👉🏼 www.sciencedirect.com:5037/science/arti...

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Manfredi Castelli
@manfredic.bsky.social

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)

sciencedirect.comHippocampal ripple diversity organizes neuronal reactivation dynamics in the offline brainHippocampal ripples are highly synchronized neuronal population patterns reactivating past waking experiences in the offline brain. Whether the level,…
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Manfredi Castelli
@manfredic.bsky.social

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)

Manfredi Castelli
@manfredic.bsky.social

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)

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Manfredi Castelli
@manfredic.bsky.social

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)

Manfredi Castelli
@manfredic.bsky.social

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)

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Manfredi Castelli
@manfredic.bsky.social

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)

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Manfredi Castelli
@manfredic.bsky.social

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)

Manfredi Castelli
@manfredic.bsky.social

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)

Manfredi Castelli
@manfredic.bsky.social

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)

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