Local inhibitory topology dictates the spatial compartmentalization of hippocampal sharp-wave ripples
Tzilivaki, A.; Parthier, D.; Kala, A.; De Filippo, R.; Schmitz, D.
Show abstract
Hippocampal sharp-wave ripples (SWRs) are essential for memory consolidation and represent among the most synchronous oscillatory events in the brain. Yet, despite their capacity for widespread synchronization, SWRs frequently remain confined to discrete hippocampal domains, revealing a paradox between global coordination and local autonomy. Here, by combining in vivo Neuropixels recordings with an experimentally constrained three-dimensional biophysical model, we show that inhibitory activity and inhibitory topology serve fundamentally distinct functions. Whereas perisomatic inhibition gates SWR generation and dendritic inhibition regulates the strength and spectral properties of ripple oscillations, the spatial organization of inhibitory connectivity establishes local computational domains that enable autonomous ripple generators to coexist. Together, our findings identify a spatial dimension of inhibition, in which inhibitory activity governs the emergence and dynamics of SWRs, while inhibitory topology determines their spatial organization and autonomy.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations 98%
- Propagation of Hippocampal Ripples to the Neocortex by Way of a Subiculum-Retrosplenial Pathway 97%
- A synaptic novelty signal to switch hippocampal attractor networks from generalization to discrimination 97%
Similar papers in this journal
- Behavioral state and stimulus strength regulate the role of somatostatin interneurons in stabilizing network activity 98%
- Human NMDAR autoantibodies disrupt excitatory-inhibitory balance leading to hippocampal network hypersynchrony 96%
- Perpetual step-like restructuring of hippocampal circuit dynamics 96%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.