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README.md

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Code for doing analysis and generating figures for Gillespie et al, "Hippocampal replay represents specific past experiences rather than a plan for subsequent choice"
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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.
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Franklab repos needed:
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for data processing: trodes2ff_shared (franklab public)
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for data processing: trodes2ff_shared
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for analysis: filterframework_shared (franklab private)
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for analysis: filterframework_shared
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Context:
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Data acquired 2018-2020 using trodes1.6.3 and 30-tet DKR drive version for 4 rats: Jaq, Roquefort, Despereaux, Montague
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Data was extracted using D. Liu's python extractor to run Trodes export functions, then processed and analysed in Matlab 2015b
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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)
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Figures were saved in as pdf or eps and formatted in Adobe Illustrator
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Data in NWB format is available on the DANDI Archive: https://dandiarchive.org/dandiset/000115/draft
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saved outputs (f) included:
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- dfs_ripcontent -> ctrl_ripcontent.mat
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- dfs_ripcontent_ripspeed -> ctrl_ripcontent_ripspeed.mat
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- dfs_ripcontent_ripspeed -> ctrl_ripcontent_ripspeed.mat [EDIT: too big for github, please request if needed]
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- dfs_ripcontent_movement -> ctrl_movementquant_full2state_all_withtrialwise.mat
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Code to generate figures:
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- Likelihoods (decode without state space model, 20ms bins): dfs_likcontent.m
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- Use MUA as event detection instead of SWRs: dfs_muacontent.m
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- Use 3-state decoder instead of 2-state to exclude stationary events: dfs_ripcontent_3state.m
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- Use more permissive content threshold: dfs_ripcontent_contentthresh
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- Use more permissive content threshold: dfs_ripcontent_contentthresh

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