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_posts/research/2022-08-01-SR_journal.md
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---
layout: single
title: "Self-Replication in NNs"
categories: research audio deep-learning anomalie-detection
excerpt: "Elaboration and journal article of the initial paper"
header:
teaser: assets/figures/15_sr_journal_teaser.jpg
---
![Children Evolution](\assets\figures\15_sr_journal_children.jpg){:style="display:block; width:65%" .align-center}
This study extends previous work on self-replicating neural networks, focusing on backpropagation as a mechanism for facilitating non-trivial self-replication. It delves into the robustness of these self-replicators against noise and introduces artificial chemistry environments to observe emergent behaviors. Additionally, it provides a detailed analysis of fixpoint weight configurations and their attractor basins, enhancing the understanding of self-replication dynamics within neural networks.
{% cite gabor2022self %}
![Noise Levels](\assets\figures\15_noise_levels.jpg){:style="display:block; width:65%" .align-center}