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README.md

1- Aux_functions:

Functions used for statistics or visualizing

2- Data:

raw_data: 
    Endtime: end time of recording in seconds
    recording_id: animal id for each unit
    timestamps_seconds: spike times in seconds for each unit
    unit_id: id for each single unit
    waveform_type:  cell type (narrow/wide) for each unit
LFPs: cell array containing a structure with LFP waveform (wf) and its corresponding time
LFP_ids: id of the animal the LFP corresponds to
Unit_location: location of each unit on electrode

3- Results:

The exact results used for the paper, pre saved for reproduction. If you want to start from scratch, just remove them 

4- Toolboxes:

Toolboxes necessary for the main routines, do remember to unzip it in the same directory as other folders before running the codes

5- Main:

the .m files can be executed at any order given the results of the paper are already saved
However, if you do not want to use the pre-saved results, , it is explained in the header of each file what the routine does and what dependencies it has.
You should start with Ensemble_decetion.m  

Good luck

datacite.yml
Title Data and code "Distinct ensembles in the noradrenergic locus coeruleus evoke diverse cortical states"
Authors Noei,Shahryar; Neural Computation Laboratory, Istituto Italiano di Tecnologia, Rovereto, Italy; Center for Mind and Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
Zouridis,Ioannis;Graduate Training Centre of Neuroscience, University of Tübingen, Tübingen, Germany, Dept. of Physiol. of Cog. Processes, MPI Biological Cybernetics, Tübingen, Germany
Logothetis,Nikos;Dept. of Physiol. of Cog. Processes, MPI Biological Cybernetics, Tübingen, Germany,Division of Imaging Sci. and Biomed. Eng., University of Manchester, Manchester, UK,Dept. of Physiology of Cognitive Processes, International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience (CEBSIT, ION), Chinese Academy of Sciences (CAS)
Panzeri,Stefano; Neural Computation Laboratory, Istituto Italiano di Tecnologia, Rovereto, Italy,Department of Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
Totah,Nelson;Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland;ORCID 0000-0002-0998-9770
Description Code and data used to demonstrate that LC units re formed of distinct ensembles that relate differently to cortical state
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References
Funding
Keywords Neuroscience
Locus Coeruleus
non-negative Matrix Factorization
Resource Type Dataset