Transformations of the spatial activity manifold convey aversive information in CA3
Open this dataset in the live repository
- Persistent identifier
- doi:10.60507/FK2/9TSLYB
- Published version
- 1.0
- Publication date
- 2025-07-30
- License
- CC BY 4.0
Description
Hippocampal circuits form cognitive maps representing spatial position and integrating contextual information, including affective cues, within episodic memory representations. We investigated how spatial and affective information combine in the population activity of CA3 axons by imaging intermediate-to-dorsal and dorsal-to-dorsal projections in mice navigating a linear track before, during, and after exposure to an aversive air puff stimulus. Our analyses reveal that both axonal populations maintain a robust, time-invariant spatial coding manifold across recordings, independent of affective context. Alterations to this common manifold encode the presence of the aversive stimulus without disrupting the spatial representation. Both axonal pathways encoded affective information with similar efficacy. This population-level encoding was distributed similarly across place and non-place cells. Our findings demonstrate that hippocampal CA3 axons integrate spatial and affective information within a common representational geometry while preserving the ability to extract each information type separately.
Creators
- Albert Miguel-Lopez
- Negar Nikbahkt
- Carlos Wert Carvajal
- Lena Johanna Gschossmann
- Martin Pofahl
- Heinz Beck
- Tatjana Tchumatchenko
Keywords
computational neuroscience, hippocampal learning, aversive information, Hippocampus CA3, Hippocampus CA1
Files
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|---|---|---|---|
| poetry.lock | application/octet-stream | 437003 | MD5 9a7bce8d22f67c27c66d4e8c38c3c7bc |
| pyproject.toml | application/octet-stream | 685 | MD5 dae1acfdd1a11ca87e6dc35d312c48fd |
| processing_functions.py | text/x-python | 52820 | MD5 4185dee55dec468123e38e06e7a1277f |
| project_parameters.py | text/x-python | 8799 | MD5 2a8f3b6357df7366fd3bb18deeda9a7b |
| mCCA.py | text/x-python | 18049 | MD5 e4a50e4b5922a523edafd4896585db67 |
| processing_functions.cpython-39.pyc | application/octet-stream | 36038 | MD5 efa9322fd91ca4c30723ed732fe532a1 |
| main_figures.py | text/x-python | 247626 | MD5 41910b091cc0d4c6373f12a78daa8591 |
| mCCA.cpython-39.pyc | application/octet-stream | 16429 | MD5 0718d510877f0f208596a862eaa1d14a |
| APdecoding_funs.cpython-39.pyc | application/octet-stream | 14690 | MD5 a9377a7e9a49012f6009855b992e08b7 |
| project_parameters.cpython-39.pyc | application/octet-stream | 5959 | MD5 7b798486bb89a9761ce6054aae0ea21c |
| main_functions.cpython-39.pyc | application/octet-stream | 272868 | MD5 f6aefcd957a2631d9114b7e720c36e1b |
| README.md | text/markdown | 1727 | MD5 b11daf3253a68ebbeecf97618a1acfdf |
| APdecoding_funs.py | text/x-python | 24730 | MD5 a741e225c74de9648cb7be64f7e0d592 |
| Miguel-Lopez_Readme.txt | text/plain | 4698 | MD5 763113acb0535fb8a1715985d5208614 |
Citation
Albert Miguel-Lopez; Negar Nikbahkt; Carlos Wert Carvajal; Lena Johanna Gschossmann; Martin Pofahl; Heinz Beck; Tatjana Tchumatchenko, 2025-07-30, Transformations of the spatial activity manifold convey aversive information in CA3, doi:10.60507/FK2/9TSLYB, V1.0
Additional Dataverse fields
| Id | 461 |
|---|---|
| Dataset Type | dataset |
| Internal Version Number | 30 |
| Latest Version Publishing State | RELEASED |
| Release Time | 2025-07-30T13:10:10Z |
| Create Time | 2025-07-29T12:45:31Z |
| Citation Date | 2025-07-30 |
| File Access Request | True |
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