Published September 12, 2022 | Version v1.0
Dataset Open

Comparing the representation of a simple visual stimulus across the cerebellar network [dataset]

  • 1. Institute of Neuroscience, Technical University of Munich, Germany
  • 2. Vara, Max-Urich-Str. 313355 Berlin, Germany

Description

This repository contains all the raw data that has been used to generate the figures in the paper "Comparing the representation of a simple visual stimulus across the cerebellar network".
To use the dataset, select all 10 .zip files provided here and unpack them simultaneously.

 

The dataset contains the following folders:

  • freely_swimming_beh folder contains the data for the freely swimming behavior experiments. Inside, subfolders for each behavioral experiment run can be found, containing the experiment metadata and the behavioral log.
  • flashes folder contains the data for the imaging experiments with the FLASHES protocol. Within this folder, three subfolders can be found with the data for each one of the three different types of imaged cell types (GCs, IONs and PCs). Within those subfolders, a folder for each imaged fish can be found, containing a data dictionary with the extracted ROI traces, and a folder with the experiment metadata.
  • steps folder contains the data for the imaging experiments with the STEPS protocol. Within this folder, three subfolders can be found with the data for each one of the three different types of imaged cell types (GCs, IONs and PCs). Within those subfolders, a folder for each imaged fish can be found, containing a data dictionary with the extracted ROI traces, and a folder with the experiment metadata.
  • fitting folder contains data dictionaries with the results from the model fitting needed to reproduce the manuscript figures.
  • data_dict4decoding_complete.h5 is a dictionary file containing all necessary data to reproduce the decoding experiments.

Files

Files (9.7 GB)

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md5:0e577f9b5cd8f62bdcf2fe5b79a6d4ac
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md5:6b5ca0d2d6fe24b03b85e8953c33ec48
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md5:6fa133cbe77fc58c98efda726049afd4
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md5:09cfe05443b77e4f34dfc3ea6edd2462
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md5:57b8c66fcddb7593bec9b147e98c9ff9
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md5:20cbc5adb4bd69e1f08d4f21e50b2dd9
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md5:b408b8ef42a374076e58bc422277c616
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md5:b7846448821959c223add2827c3a30a2
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md5:de61e05ae81beeb8aa103f2ba4baca12
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md5:92401a8bb9f9e00006318a94f354f902
213.2 MB Download