Data from: Rapid formation of non-spatial hippocampal representations consistent with behavioral timescale synaptic plasticity is modulated by entorhinal input
Data files
Apr 02, 2026 version files 49.51 GB
-
allAhmetBruker.mat
1.25 GB
-
allAhmetevents.mat
632.58 KB
-
allCA1learning.mat
12.54 GB
-
allCA1PSAM.mat
18.44 GB
-
allECaxons.mat
12.01 GB
-
allPSAMevents.mat
1.93 MB
-
AxonDecodingMostSelective10ROIs.mat
203.89 KB
-
AxonSelecValues.mat
83.83 MB
-
AxonSignifandPerf.mat
1.22 MB
-
BTSPave_10trials_0.5secbins_fulltrial.mat
241.29 MB
-
BTSPave_10trials_0.5secbins_odorpres.mat
45.21 MB
-
BTSPave_10trials_allamps_odorpres.mat
96.13 MB
-
BTSPave_1trial_0.5secbins_fulltrial.mat
211.67 MB
-
BTSPave_1trial_0.5secbins_odorpres.mat
41.88 MB
-
BTSPave_rangetrialsbeforeafter_fulltrial.mat
297.51 MB
-
BTSPavelearning_10trials_0.5secbins_fulltrial.mat
103.57 MB
-
BTSPavelearning_10trials_0.5secbins_odorpres.mat
20.61 MB
-
BTSPavelearning_1trial_0.5secbins_fulltrial.mat
94.34 MB
-
BTSPavelearning_1trial_0.5secbins_odorpres.mat
19.66 MB
-
CA1learningBTSP.mat
199.14 MB
-
CD210_2023_02_10_aligned_behavior.mat
652.54 MB
-
CD230_Pair1_aligned_behavior.mat
1.24 GB
-
CD262_FOV1_20241127_aligned_behavior.mat
451.22 MB
-
CD98_2021_05_23_aligned_behavior.mat
458.94 MB
-
PSAMBTSPfull_firstodor.mat
262.74 MB
-
PSAMBTSPfull_secondodor.mat
261.70 MB
-
PSAMBTSPfull.mat
260.13 MB
-
PSAMDecoding.mat
120.52 MB
-
PSAMSelecValues.mat
106.12 MB
-
README.md
11.37 KB
Abstract
Behavioral timescale synaptic plasticity (BTSP) is a form of synaptic potentiation where a single plateau potential in hippocampal neurons forms a place field during spatial learning. However, it remains unknown whether BTSP also forms non-spatial responses and what roles the medial and lateral entorhinal cortex (MEC and LEC) play in driving non-spatial BTSP. Using two-photon calcium imaging of CA1 pyramidal neurons in mice learning an odor-cued working memory task, we observed spontaneously occurring large plateau-like calcium events during odor cues, forming stable odor representations. Using holographic optogenetics, we induced similar plateau-like calcium events in single neurons that were followed by novel odor representations. Chemogenetic inhibition of MEC reduced the frequency of plateau-like events, whereas LEC inhibition reduced their efficiency in forming odor representations. Together, our findings demonstrate that rare large somatic calcium events, consistent with BTSP, precede and drive novel odor representations in a manner differentially regulated by medial and lateral entorhinal cortex. This dataset contains all preprocessed data from the publication [Dorian et al 2026](Rapid formation of non-spatial hippocampal representations consistent with behavioral timescale synaptic plasticity is modulated by entorhinal input). All figure panels with comparisons and statistics can be generated with the data here and code found on GitHub, which has been written in MATLAB version 2021a.
Dataset DOI: 10.5061/dryad.573n5tbpp
Description of the data and file structure
All behavioral and preprocessed calcium imaging data collected for this study are included in this dataset and may be used to replicate figures in the publication: Dorian et al., 2026, in Nature Communications ‘Rapid formation of non-spatial hippocampal representations consistent with behavioral timescale synaptic plasticity is modulated by entorhinal input.’
Files and variables
There are 29 files:
1. allAhmetBruker.mat – (1.25GB) – large storage file that contains all data from 3 CA1 imaging animals with holographic optogenetic stimulation.
- 'rawtrials' = all suite2p outputs organized by animal and session.
- 'frametimes' = 1x480 array for the timing (in seconds) of each of the 480 frames per trial. Timepoint 0 corresponds to the onset of the first odor.
- 'p' = struct that holds all parameters from make_allAhmetBruker.m.
2. allAhmetevents.mat – (633KB) – intermediate save file that contains information about each calcium event from allAhmetBruker.mat dataset.
- 'ahmetspontevents' = all events not from optogenetic stimulation
- 'ahmetstimevents' = all events from optogenetic stimulation
- 'spontcounts' = count of spontaneous events per animal and event amplitude.
- 'stimcounts' = count of stimulated events per animal and event amplitude.
3. allCA1learning.mat – (12.54GB) - large storage file that contains all data from 5 CA1 imaging animals for 11 days of learning.
- 'rawtrials' = all suite2p outputs organized by animal and session.
- 'frametimes' = 1x500 array for the timing (in seconds) of each of the 500 frames per trial. Timepoint 0 corresponds to the onset of the first odor.
- 'p' = struct that holds all parameters from make_allCA1learning.m.
4. allCA1PSAM.mat – (18.44GB) - large storage file that contains all data from 17 CA1 imaging animals with PSAM chemogenetics and controls.
- 'rawtrials' = all suite2p outputs organized by animal and session.
- 'frametimes' = 1x500 array for the timing (in seconds) of each of the 500 frames per trial. Timepoint 0 corresponds to the onset of the first odor.
- 'p' = struct that holds all parameters from make_allCA1PSAM.m.
5. allECaxons.mat – (12.01GB) - large storage file that contains all collected data from 8 LEC and 8 MEC axonal imaging animals.
- 'rawtrials' = all suite2p outputs organized by animal and session.
- 'frametimes' = 1x500 array for the timing (in seconds) of each of the 500 frames per trial. Timepoint 0 corresponds to the onset of the first odor.
- 'p' = struct that holds all parameters from make_allECaxons.m.
6. allPSAMevents.mat – (1.93MB) - intermediate save file that contains information about each calcium event from allCA1PSAM.mat dataset.
- 'allevents' = events organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
- 'eventcounts' = event counts by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
7. AxonDecodingMostSelective10ROIs.mat – (204KB) - intermediate save file that contains decoding results from allECaxons.mat dataset.
- 'decode' = all decoding values organized by animal (8 animals) and session (7 days).
8. AxonSelecValues.mat – (83MB) - intermediate save file that contains selectivity values for each axons from allECaxons.mat dataset.
- 'selec' = all selectivity values organized by animal (8 animals) and session (7 days).
9. AxonSignifandPerf.mat – (1.22MB) - intermediate save file that contains shuffled significance values and behavioral performance information from allECaxons.mat dataset.
- 'perf' = behavioral performance values organized by animal (8 animals) and session (7 days).
- 'signif' = significant sequence ROIs organized by animal (8 animals) and session (7 days).
10. BTSPave_1trial_0.5secbins_fulltrial.mat – (212MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 1 trial after-before for full trial length) from allCA1PSAM.mat dataset.
- 'BTSPave' = calculated values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
11. BTSPave_1trial_0.5secbins_odorpres.mat – (42MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 1 trial after-before only during odor presentations) from allCA1PSAM.mat dataset.
- 'BTSPave' = calculated values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
12. BTSPave_10trials_0.5secbins_fulltrial.mat – (241MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 10 trials after-before for full trial length) from allCA1PSAM.mat dataset.
- 'BTSPave' = calculated values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
13. BTSPave_10trials_0.5secbins_odorpres.mat – (45MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 10 trials after-before only during odor presentations) from allCA1PSAM.mat dataset.
- 'BTSPave' = calculated values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
14. BTSPave_10trials_allamps_odorpres.mat – (96MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 10 trials after-before only during odor presentations, but across all event amplitudes) from allCA1PSAM.mat dataset.
- 'BTSPave' = calculated values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
15. BTSPave_rangetrialsbeforeafter_fulltrial.mat – (298MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when range of trials after-before for full trial length) from allCA1PSAM.mat dataset.
- 'BTSPave' = calculated values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
16. BTSPavelearning_1trial_0.5secbins_fulltrial.mat – (94MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 1 trial after-before for full trial length) from allCA1learning.mat dataset.
- 'BTSPave' = calculated values organized by animal (5 animals) and session (11 days).
17. BTSPavelearning_1trial_0.5secbins_odorpres.mat – (20MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 1 trial after-before only during odor presentations) from allCA1learning.mat dataset.
- 'BTSPave' = calculated values organized by animal (5 animals) and session (11 days).
18. BTSPavelearning_10trials_0.5secbins_fulltrial.mat – (104MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 10 trials after-before for full trial length) from allCA1learning.mat dataset.
- 'BTSPave' = calculated values organized by animal (5 animals) and session (11 days).
19. BTSPavelearning_10trials_0.5secbins_odorpres.mat – (21MB) - intermediate save file that contains ‘Firing Rate Increase’ calculated values (when 10 trials after-before only during odor presentations) from allCA1learning.mat dataset.
- 'BTSPave' = calculated values organized by animal (5 animals) and session (11 days).
20. CA1learningBTSP.mat – (199MB) - intermediate save file that contains results of Binary BTSP detection from allCA1learning.mat dataset.
- 'BTSP' = calculated BTSP values organized by by animal (5 animals) and session (11 days).
21. CD98_2021_05_23_aligned_behavior.mat - (459MB) – example full dataset from one representative LEC axon imaging animal.
- 'aligned_behavior' = original suite2p outputs with trial parameters to explore an example recording session, made from 'align_behavior.m'.
22. CD210_2023_02_10_aligned_behavior.mat – (653MB) – example full dataset from one representative MEC axon imaging animal.
- 'aligned_behavior' = original suite2p outputs with trial parameters to explore an example recording session, made from 'align_behavior.m'.
23. CD230_Pair1_aligned_behavior.mat – (1.24GB) - example full dataset from one representative pair of recordings from the allCA1PSAM.mat dataset.
- 'aligned_behavior' = original suite2p outputs with trial parameters to explore an example recording session, made from 'align_behavior.m'.
24. CD262_FOV1_20241127_aligned_behavior.mat – (451MB) – example full dataset from one representative recording session from the allAhmetBruker.mat dataset.
- 'aligned_behavior' = original suite2p outputs with trial parameters to explore an example recording session, made from 'align_behavior_ahmetBruker.m'.
25. PSAMBTSPfull.mat - (260MB) - intermediate save file that contains results of Binary BTSP detection from allCA1PSAM.mat dataset.
- 'BTSP' = calculated BTSP values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
26. PSAMBTSPfull_firstodor.mat – (263MB) - intermediate save file identical to PSAMBTSPfull.mat but with results from only analyzing the first odor.
- 'BTSP' = calculated BTSP values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
27. PSAMBTSPfull_secondodor.mat – (262MB) - intermediate save file identical to PSAMBTSPfull.mat but with results from only analyzing the second odor.
- 'BTSP' = calculated BTSP values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
28. PSAMDecoding.mat – (121MB) - intermediate save file that contains decoding results from allCA1PSAM.mat dataset.
- 'decode' = decoding accuracy values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
29. PSAMSelecValues.mat – (106MB) - intermediate save file that contains selectivity values for each axons from allCA1PSAM.mat dataset.
- 'selec' = selectivity values organized by animal group (LEC mCherry, LEC PSAM4, MEC mCherry, MEC PSAM4), animal (6 animals), and session type (saline or uPSEM).
Code/software
MALTAB is required to view the files and all the analysis code is available on GitHub (https://github.com/ccdorian/NonSpatialBTSP2026)
Access information
Other publicly accessible locations of the data:
- None
Data was derived from the following sources:
- Dorian et al., 2026, in Nature Communications ‘Rapid formation of non-spatial hippocampal representations consistent with behavioral timescale synaptic plasticity is modulated by entorhinal input.’
