<?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 — Genetic Circuits Part II: Neuromorphic Circuits :: 2026a-peter-olawumi</title><link>https://pages.htgaa.org/2026a/peter-olawumi/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) Question 1: Advantages of IANNs over traditional Boolean genetic circuits Traditional genetic circuits compute Boolean functions — AND, OR, NAND, NOR — where each input is treated as fully on or fully off, and the output is discrete. This binary logic imposes a hard constraint: the circuit cannot distinguish how much of a signal is present, only whether it is present. IANNs overcome this and several related limitations.</description><generator>Hugo</generator><language>en</language><lastBuildDate/><atom:link href="https://pages.htgaa.org/2026a/peter-olawumi/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>