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Software . 2022
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Software . 2022
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ZENODO
Software . 2022
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
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Signal denoising through topographic modularity of neural circuits

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Mar 2022Publisher:Zenodo
Authors: Zajzon, Barna; Dahmen, David; Morrison, Abigail; Duarte, Renato;

doi: 10.5281/zenodo.6326497 , 10.5281/zenodo.6326496

Signal denoising through topographic modularity of neural circuits

Abstract

This is a repository accompanying the paper Zajzon, B., Dahmen, D., Morrison, A., & Duarte, R. (2022). Signal denoising through topographic modularity of neural circuits. bioRxiv. It contains the code and data necessary to reproduce the figures in the manuscript.

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Keywords

signal denoising, neural circuits, topographic modularity, network dynamics

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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!
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