<?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: Neuromorphic Circuits :: 2026a-zeynep-begum-kara</title><link>https://pages.htgaa.org/2026a/zeynep-begum-kara/homework/week-07-genetic-circuits-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) 1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Boolean genetic circuits treat signals like 0 or 1, meaning every input must pass a hard on/off threshold. However, this can lose useful information. This can be limiting because real biological signals are usually not binary. Inside cells, signals often exist as gradual changes such as in concentration level. IANNs are useful because they keep more of that analog information since they are not only asking “is this signal present or absent?”.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/zeynep-begum-kara/homework/week-07-genetic-circuits-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>