<?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 Part ii :: 2026a-nourelden-rihan</title><link>https://pages.htgaa.org/2026a/nourelden-rihan/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>𓃠 Week 7 Homework 𓃠 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? IANNs are more suited for biology since they are not constrained with the digital “0 and 1” appraoch, but can follow an Analog appraoch that is more realistic and suited for biology, because biology is not in an On/Off stage but it varies with different values and expression levels and they are more flexible in that they help in designing more Decision Boundaries without having to create new parts from the scratch and as we have seen with the Neuromorphic wizard, it can also tap and work in Advanced areas like “Dual Region” zones where a cell activates if inputs are strictly below a threshold Or strictly above a threshold, but remains totally inactive in the intermediate zone</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/nourelden-rihan/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>