sparse: Calculate the sparseness of a vector.
In ropensci/DoOR.functions: Integrating Heterogeneous Odorant Response Data into a Common Response Model: A DoOR to the Complete Olfactome
sparse R Documentation
Calculate the sparseness of a vector.
Description
Sparseness can be calculated as lifetime kurtosis (LTK, Willmore and
Tolhurst, 2001) or as lifetime sparseness (LTS, Bhandawat et al., 2007).
Usage
sparse(x, method = "ltk")
Arguments
x
numerical input vector
method
type of sparseness measure, either 'ltk' for lifetime kurtosis
or 'lts' for lifetime sparseness (see references).
Details
LTS scales between \[0,1\] while LTK is not restricted. LTS only
takes positive values.
Author(s)
Daniel Münch <daniel.muench@uni-konstanz.de>
References
Bhandawat, V., Olsen, S.R., Gouwens, N.W., Schlief, M.L., Wilson,
R.I., 2007. Sensory processing in the Drosophila antennal lobe increases
reliability and separability of ensemble odor representations. Nature
neuroscience 10, 1474–82. doi:10.1038/nn1976
Willmore, B., Tolhurst, D.J., 2001. Characterizing the sparseness
of neural codes. Network 12, 255–270. doi:10.1080/net.12.3.255.270
ropensci/DoOR.functions documentation built on Feb. 22, 2024, 9:44 a.m.
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| sparse | R Documentation |
Calculate the sparseness of a vector.
Description
Sparseness can be calculated as lifetime kurtosis (LTK, Willmore and Tolhurst, 2001) or as lifetime sparseness (LTS, Bhandawat et al., 2007).
Usage
sparse(x, method = "ltk")
Arguments
x |
numerical input vector |
method |
type of sparseness measure, either 'ltk' for lifetime kurtosis or 'lts' for lifetime sparseness (see references). |
Details
LTS scales between \[0,1\] while LTK is not restricted. LTS only takes positive values.
Author(s)
Daniel Münch <daniel.muench@uni-konstanz.de>
References
Bhandawat, V., Olsen, S.R., Gouwens, N.W., Schlief, M.L., Wilson, R.I., 2007. Sensory processing in the Drosophila antennal lobe increases reliability and separability of ensemble odor representations. Nature neuroscience 10, 1474–82. doi:10.1038/nn1976
Willmore, B., Tolhurst, D.J., 2001. Characterizing the sparseness of neural codes. Network 12, 255–270. doi:10.1080/net.12.3.255.270
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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