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README.md

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 # MothMotifs
 
+This project builds off of previous work published in [[1]](#1) and uses pruned neural networks trained to model insect flight. A description of [[1]](#1), as well as all code used to generate sparse neural networks for use in this project, can be found in [this Github repository](https://github.com/oliviatessa/MothPruning#mothpruning). 
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-  <img src="figs/motif_fig.jpg" width="75%"/>
+  <img src="figs/motif_fig.jpg" width="60%"/>
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-This project builds off of previous work published in [[1]](#1) and uses pruned neural networks trained to model insect flight. A description of [[1]](#1), as well as all code used to generate sparse neural networks for use in this project, can be found in [this Github repository](https://github.com/oliviatessa/MothPruning#mothpruning). 
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 ## Background
 
 Complex networks across many domains (ecological food webs, neural systems, electrical circuits) are made up of statistically significant, subgraphs called network motifs. Network motifs are described by the number of nodes they involve and the nature of the connections in-between the nodes (e.g., directed, or bi-directed). The order of the motif is defined by the number of nodes it involves (i.e. n-order motif involves n+1 nodes). For example, a second-order diverging motif involves 3 nodes: