<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 07 HW: Genetic circuits part ii :: 2026a-alve-lagercrantz</title><link>https://pages.htgaa.org/2026a/alve-lagercrantz/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?** Intracellular artificial neural networks (IANNs) have a major advantage over traditional Boolean genetic circuits because they can process graded, continuous signals rather than only treating inputs as ON/OFF states. In biological systems, many relevant signals such as metabolite concentration, RNA abundance, stress level etc are not naturally binary. Neural-network-like circuits are better suited to integrate these analog inputs and make decisions based on their combined strength. Rizik e.g 2022</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/alve-lagercrantz/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>