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nwb_datajoint

Setup

Instructions as of 09-02-2020

  1. Clone this repository

    git clone https://github.com/LorenFrankLab/nwb_datajoint.git
  2. Set up and activate the conda environment:

    cd nwb_datajoint
    conda env create -f environment.yml
    cd ..
    conda activate nwb_datajoint
  3. Install the repo:

    cd nwb_datajoint
    python setup.py develop
    cd ..
    • Ignore the error error: numba 0.50.1 is installed but numba<0.49,>=0.37.0 is required by {'datashader'}
  4. Use the datajoint docker installation

  5. Temporary development package:

    ndx-franklab-novela (conda version too restrictive)

     git clone https://github.com/NovelaNeuro/ndx-franklab-novela.git
    
     cd ndx-franklab-novela
    

    open requirements.txt in your favorite text editor and remove the line hdmf==1.6.4

     vim requirements.txt
    

    install the repo

     python setup.py develop
    
     cd ..
    
  6. Run populate_from_NWB_tutorial.ipynb from the notebooks directory.

  7. Other examples: nwbdj_lfp_tutorial.ipynwb to extract LFP nwbdj_spikeinterface.pynwb to setup and run spikesorting

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  • Jupyter Notebook 82.2%
  • Python 17.3%
  • Other 0.5%