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.
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.
@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"
}