<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 7 HW: Genetic Circuits II :: 2026a-michael-yang</title><link>https://pages.htgaa.org/2026a/michael-yang/homework/week-07-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? IANNs are analog, instead of digital (e.g. boolean/binary logic), which means they work on numerical values. This means that their behavior can be finely adjusted: they can output specific quantities, and they can take into account the specific/relative magnitudes of inputs. This is well suited for biological applications because biological systems exhibit homeostatic behaviors.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/michael-yang/homework/week-07-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>