---
layout: single
title:  "Self-Replication in Neural Networks"
categories: research 
excerpt: "Introduction of NNs that are able to replicate their own weights."
header:
  teaser: assets/figures/1_self_replication_pca_space.jpg
---

![Self-Replication Robustness](\assets\figures\1_self_replication_robustness.jpg){:style="display:block; width:40%" .align-right}

This text discusses the fundamental role of self-replication in biological structures and its application to neural networks for developing complex behaviors in computing. It explores different network types for self-replication, highlighting the effectiveness of backpropagation in navigating network weights and fostering the emergence of non-trivial self-replicators. The study further delves into creating an artificial chemistry environment comprising several neural networks, offering a novel approach to understanding and implementing self-replication in computational models. For in-depth insights, refer to the work by {% cite gabor2019self %}.

![Self-replicators in PCA Space (Soup)](\assets\figures\1_self_replication_pca_space.jpg){:style="display:block; width:80%" .align-center}