GitHub - greddy992/Odor-mixtures: Code to generate the results for "Antagonism in olfactory receptor neurons and its implications for the perception of mixtures"

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Code to generate the results for "Antagonism in olfactory receptor neurons and its implications for the perception of mixtures"

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Coding model.ipynb		Coding model.ipynb
Concentration coding.ipynb		Concentration coding.ipynb
LICENSE		LICENSE
Masking.ipynb		Masking.ipynb
Quality coding.ipynb		Quality coding.ipynb
README		README
Temporal dynamics of ORN.ipynb		Temporal dynamics of ORN.ipynb
common.hpp		common.hpp
compsep.cpp		compsep.cpp
discrimination.cpp		discrimination.cpp
info_cocktail3.cpp		info_cocktail3.cpp
intensity.cpp		intensity.cpp
multinomial.cpp		multinomial.cpp
multinomial.hpp		multinomial.hpp
overshadow.cpp		overshadow.cpp
softmax.cpp		softmax.cpp
softmax.hpp		softmax.hpp

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Author: Gautam Reddy Nallamala
Affiliation: Dept. of Physics, UC San Diego, USA
Email: gnallama@physics.ucsd.edu

The IPython notebook files are used to generate the figures for the paper.
Temporal Dynamics of an ORN - Figure 1
Masking - Figure 2
Coding Model - Figure 3 and 4
Quality Coding - Figure 5
Concentration Coding - Figure 6

Additional C++ code is used to generate the data used to plot the four panels in Figure 6 and the D panel in Figure 7. 

To run the CPP files, you need to have the GNU Scientific Library installed.