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Software . 2021
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Software . 2021
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Software . 2021
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akash-uma/pairwise_population_metrics: First release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 Jun 2021Publisher:Zenodo
Authors: Akash-Uma;
Code repository: https://github.com/akash-uma/pairwise_population_metrics/tree/v1.0.0

doi: 10.5281/zenodo.5028018 , 10.5281/zenodo.5028017

akash-uma/pairwise_population_metrics: First release

Abstract

For the latest version, see https://github.com/akash-uma/pairwise_population_metrics Code for computing pairwise metrics (Rsc mean and Rsc s.d.) and population metrics (loading similarity, % shared variance, and dimensionality). For more details on these metrics see our paper, "Bridging neuronal correlations and dimensionality reduction". Umakantha, Morina, Cowley et al. (Neuron, 2021). This is the first release.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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3