Data files for the paper, Modeling the Diverse Effects of Divisive Normalization on Noise Correlations, available on bioRxiv

For the corresponding code toolbox, please see the Github repository

Please cite as:

Modeling the Diverse Effects of Divisive Normalization on Noise Correlations
Oren Weiss, Hayley A. Bounds, Hillel Adesnik, Ruben Coen-Cagli
bioRxiv 2022.06.08.495145; doi: https://doi.org/10.1101/2022.06.08.495145

Contents

Directory/File
Contents
data/raw Raw calcium imaging recording sessions (files of the form HBxx_x_xxx.mat) and script parseData.m, a preprocessing script. This data contains calcium imaging data from primary visual cortex of mice viewing visual stimuli while performing a behavioral task. For more detail, see the publication and data/raw/readme.txt.
data/processed Location of the output of parseData.m and of the parameters used for generating synthetic data (params_best_JN2019.mat)
data/processed/PairwiseCalcium_NeuropilCoeff07.mat Responsive pairs of normalized fluorescence traces (with neuropil coefficient = 0.7) across all sessions. Main dataset used in this study
data/simulations Stored results from simulation scripts (see ../scripts/ in the main GitHub repository for details)
data/simulations/ApproxVTrue.mat Simulation data used for Figure 1 in the paper (generated from scripts/genDataApproxVsTrue.m)
data/simulations/NoiseCorrVsNormalization.mat Simulation data used for Figures 2 in the paper (generated from scripts/genDataNoiseCorrVsNormalization.m)
data/simulations/RhoFitVTrue.mat Simulation data used for Figure 3 in the paper (generated from scripts/genDataSyntheticBootCIrand.m)
data/simulations/SingleTrialNorm.mat Simulation data used for Figure 4 in the paper (generated from scripts/genDataSingleTrialInference.m)
data/analysis Stored results from fitting the model to the processed calcium imaging data (AnalysisCalciumCI.mat). Corresponding analysis script is scripts/analyzeCalciumDataCI.m. Used for Figures 5 and 6

File Tree

data/
├── 📂 analysis
│   └── AnalysisCalciumCI.mat
├── 📂 processed
│   ├── PairwiseCalcium_NeuropilCoeff07.mat
│   └── params_best_JN2019.mat
├── 📂 raw
│   ├── HB67_2_209_190910_dataset_09012022.mat
│   ├── HB67_2_209_191014_dataset_09012022.mat
│   ├── HB67_2_209_191016_dataset_09012022.mat
│   ├── HB67_3_217_191008_dataset_09012022.mat
│   ├── HB67_3_217_191017_dataset_09012022.mat
│   ├── HB67_3_217_191025_dataset_09012022.mat
│   ├── HB67_3_217_191114_dataset_09012022.mat
│   ├── HB67_4_210_190926_dataset_09012022.mat
│   ├── HB67_4_210_191018_dataset_09012022.mat
│   ├── parseData.m
│   └── readme.txt
└── 📂 simulations
    ├── ApproxVTrue.mat
    ├── NoiseCorrVsNormalization.mat
    ├── PairwiseVsIndependent.mat
    ├── RhoFitVTrue.mat
    └── SingleTrialNorm.mat