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Code for "The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe" by Lazar, Liu, Yeh, 2022

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AntennalLobeLLY22

Code for "The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe" by Lazar, Liu, Yeh, 2022.

Please find relevant JuPyteR notebooks in the /notebooks folder. The python scripts .py are synchronized with the notebooks with the same name .ipynb using jupytext for easy source control.

Software Requirements

The notebooks are developed using Python 3.8.8 and earlier versions are not guaranteed to work.

The following packages are required:

neural    # in-house package, see below
jupytext  # synchronization between jupyter notebooks and python scripts
seaborn

Note that neural is an in-house package that supports massively parallel evaluation of biological neural networks. It is written purely in Python and supports a natural API. This notebook, was developed using a specific pinned version of neural, and can be installed from GitHub here.

Citation

@article{LLY22,
  author = "Aurel A. Lazar and Tingkai Liu and C.-H. Yeh",
  title = "The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe",
  year = 2022,
  journal = "bioRxiv  ",
  month = "Feb"
}

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Code for "The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe" by Lazar, Liu, Yeh, 2022

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