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Large-scale synaptic dynamics drive the reconstruction of binocular circuits in mouse visual cortex

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NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Large-scale_synaptic_dynamics_drive_the_reconstruction_of_binocular_circuits_in_mouse_visual_cortex/28738592
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This file contains the processed .mat files used for plotting the figures in the paper, "Large-scale synaptic dynamics drive the reconstruction of binocular circuits in mouse visual cortex". The specific data tables used for the main figures are: 1) soma_properties_table.mat: this file contains one table where the rows represent each soma imaged during contra, binocular, or ipsi eye viewing on D1, D5, or D10 and the columns represent the functional properties of the soma during each viewing condition and timepoint 2) spine_properties_table.mat: this file contains one table where the rows represent each spine imaged during contra, binocular, or ipsi eye viewing on D1, D5, or D10 and the columns represent the functional and structural properties of the spine during each viewing condition and timepoint 3) tracked_spine_properties_table.mat: this file contains two tables, D1_D5_table and D5_D10_table, where for each table, the rows represent each spine tracked between the two timepoints, and the columns represent the spine's functional / structural properties for each timepoint and a label to specify whether the spine was lost, retained, or added between the two timepoints 4) tracked_spines_ori_bootstrap.mat: this file is similar to tracked_spine_properties_table.mat but contains additional properties for performing a bootstrap analysis in Figure 5 to examine whether the changes in orientation preference between timepoints fall outside the bootstrapped distribution of the tracked spine The rest of the files, all_analyzed_spines_soma_structure.mat and visually_responsive_spines.mat were used to create the data tables above The data used for making the data tables are in "Processed Data.zip" file, organized into subfolders with the following structure "mouse/day/cell/FOV/viewing condition". Each 'viewing condition' subfolder contains a .xml, .csv file and .zip for the FOV that was recorded. The .csv file contains the time-series data of the average fluorescence of the ROIs across time. The .xml file contains voltage-recording timestamps to align the time-series data. The .zip file contains the x and y coordinates for each ROI in the FOV. Within the 'viewing condition' subfolder there is a folder called 'stim' which contains the stim.mat file with a 3D array of the visual parameters used for the visual stimulus.
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2025-07-02
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