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Welcome to the 2p_preprocess_ppc wiki!
Master preprocessing script is new_LD187_preprocessing.m
% Needs constrained_foopsi https://github.com/epnev/constrained-foopsi % Needs HarveyLab helper functions (abfload) https://github.com/HarveyLab/helperFunctions % Needs matlab signal processing toolbox
master path for raw data is /n/groups/htem/temcagt/datasets/ppc/2P_data
original files from Laura are at
~/NeuroShare/HarveyLab/Tier2/Former lab members/Laura Driscoll/code_workspace/LD187/Virmen
~/NeuroShare/HarveyLab/Tier2/Former lab members/Laura Driscoll/DATA/imaging/PPC/manuscript_mice/LD187
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lineUpSession synchronizes behavioral data (from virmen) to synchronization signal (pclamp) and saves output to
master/code_workspace/LD187/virmen/
- Load suite2p data from
master/scanimage
- Perform deconvolution and export to
master/code_workspace/deconvData
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master/code_workspace
has been saved to ext HD, so I've generally loaded it here (on my laptop) for subsequent steps - Calculate SNR metrics
- parseVirmenTrials calculates trialAlignedData (Ca data, RL select idx (from Harvey 2012), pairwise correlations, etc)
- Everything below that is not used
Calculates select index based on (1) RL (Harvey 2012) (2) ROC (Najafi 2020), and (3) Mutual Information (used in paper)
https://github.com/nmtimme/Neuroscience-Information-Theory-Toolbox
Code workspace master path /n/groups/htem/temcagt/datasets/ppc/2P_data/
or /Volumes/Aaron's 5TB HD/ppc/2P_data/
master/code_workspace/LD187/selectMetrics
Calculates mutual information based on different definitions of trial type (cue, turn, correct only, etc).
Dev'd for testing purposes, paper just uses cue
https://github.com/nmtimme/Neuroscience-Information-Theory-Toolbox
Code workspace master path /n/groups/htem/temcagt/datasets/ppc/2P_data/
or /Volumes/Aaron's 5TB HD/ppc/2P_data/
Path is currently master path 2P_data
, but currently outputting to /Users/akuan/Dropbox (HMS)/htem_team/projects/PPC_project/2P_data
from laptop