From af1417f2a88fcbb8b7ae63aca3ee2afff1413fb3 Mon Sep 17 00:00:00 2001 From: "Olivia T. Zahn" <42389485+oliviatessa@users.noreply.github.com> Date: Mon, 19 Dec 2022 15:27:36 -0700 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 902ba32..ac16501 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ # 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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-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). - ## 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: