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1 | | -Code for doing analysis and generating figures for Gillespie et al, "Hippocampal replay represents specific past experiences rather than a plan for subsequent choice" |
| 1 | +Code for doing analysis and generating figures for Gillespie et al, "Hippocampal replay represents specific past experiences rather than a plan for subsequent choice" Neuron 2021. Please contact Anna Gillespie ([email protected]) with any questions about this codebase. |
2 | 2 |
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3 | 3 | Franklab repos needed: |
4 | 4 |
|
5 | | -for data processing: trodes2ff_shared (franklab public) |
| 5 | +for data processing: trodes2ff_shared |
6 | 6 |
|
7 | | -for analysis: filterframework_shared (franklab private) |
| 7 | +for analysis: filterframework_shared |
8 | 8 |
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9 | 9 | Context: |
10 | 10 | Data acquired 2018-2020 using trodes1.6.3 and 30-tet DKR drive version for 4 rats: Jaq, Roquefort, Despereaux, Montague |
11 | 11 | Data was extracted using D. Liu's python extractor to run Trodes export functions, then processed and analysed in Matlab 2015b |
12 | 12 |
|
13 | | -Decoding results used are "ripdecodesv3.mat" pulled from /filterframework/decoding/animal_day_ep_shuffle_0_posterior_acausalv2_full2state.nc (2-state state space model, decoding all times, 2ms bins, 5cm time bins, uniform and stepwise transmats (equal prob back/forward/stay); decoding done mostly at LLNL) |
14 | | - |
15 | 13 | Figures were saved in as pdf or eps and formatted in Adobe Illustrator |
16 | 14 |
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17 | 15 | Data in NWB format is available on the DANDI Archive: https://dandiarchive.org/dandiset/000115/draft |
18 | 16 |
|
19 | 17 | saved outputs (f) included: |
20 | 18 |
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21 | 19 | - dfs_ripcontent -> ctrl_ripcontent.mat |
22 | | - - dfs_ripcontent_ripspeed -> ctrl_ripcontent_ripspeed.mat |
| 20 | + - dfs_ripcontent_ripspeed -> ctrl_ripcontent_ripspeed.mat [EDIT: too big for github, please request if needed] |
23 | 21 | - dfs_ripcontent_movement -> ctrl_movementquant_full2state_all_withtrialwise.mat |
24 | 22 |
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25 | 23 | Code to generate figures: |
@@ -98,4 +96,4 @@ Control Analyses (not shown in figures): |
98 | 96 | - Likelihoods (decode without state space model, 20ms bins): dfs_likcontent.m |
99 | 97 | - Use MUA as event detection instead of SWRs: dfs_muacontent.m |
100 | 98 | - Use 3-state decoder instead of 2-state to exclude stationary events: dfs_ripcontent_3state.m |
101 | | - - Use more permissive content threshold: dfs_ripcontent_contentthresh |
| 99 | + - Use more permissive content threshold: dfs_ripcontent_contentthresh |
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