Journal article
Spatio-temporal organization of network activity patterns in the hippocampus
- Abstract:
- Understanding how coordinated neural networks support brain functions remains a central goal in neuroscience. The hippocampus, with its layered architecture and structured inputs to diverse cell populations, is a tractable model for dissecting operating microcircuits through the analysis of electrophysiological signatures. We investigated hippocampal network patterns in behaving mice by developing a low-dimensional embedding of local field potentials recorded along the CA1-to-dentate gyrus axis. This embedding revealed layer-specific gamma profiles reflecting spatially organized rhythms and their associated principal cell-interneuron firing motifs. Moreover, firing behaviors along the CA1 radial axis distinguished between deep and superficial principal cells, as well as between interneurons from the pyramidal, radiatum, and lacunosum-moleculare layers. These findings provide a comprehensive map of spatiotemporal activity patterns underlying hippocampal network functions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 21.4MB, Terms of use)
-
(Supplementary materials, zip, 28.9MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.celrep.2025.115808
Authors
+ Biotechnology and Biological Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- BB/S007741/1
- BB/N002547/1
- Publisher:
- Cell Press
- Journal:
- Cell Reports More from this journal
- Volume:
- 44
- Issue:
- 6
- Article number:
- 115808
- Publication date:
- 2025-06-04
- Acceptance date:
- 2025-05-19
- DOI:
- EISSN:
-
2211-1247
- ISSN:
-
2639-1856
- Language:
-
English
- Keywords:
- Pubs id:
-
2125245
- Local pid:
-
pubs:2125245
- Deposit date:
-
2025-05-21
- ARK identifier:
Terms of use
- Copyright holder:
- Lopes-dos-Santos et al
- Copyright date:
- 2025
- Rights statement:
- © 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record