https://github.com/tk-21st/antennallobelly22

Code for "The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe" by Lazar, Liu, Yeh, 2022
https://github.com/tk-21st/antennallobelly22

Last synced: 24 days ago
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Code for "The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe" by Lazar, Liu, Yeh, 2022

• Host: GitHub
• URL: https://github.com/tk-21st/antennallobelly22
• Owner: TK-21st
• License: bsd-3-clause
• Created: 2022-02-28T21:38:51.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-15T21:34:48.000Z (about 2 years ago)
• Last Synced: 2024-11-05T08:03:09.513Z (2 months ago)
• Language: Jupyter Notebook
• Size: 22.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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`](https://github.com/mwouts/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](https://github.com/chungheng/neural/tree/al).

## 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"

}

```