<?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-franziska-matt</title><link>https://pages.htgaa.org/2026a/franziska-matt/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part I: Intracellular Artificial Neural Networks (IANNs) 1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
Continuous Signal Processing
Boolean circuits output only 0 or 1 (OFF/ON) states. IANNs operate on continuous, graded gene expression levels. Ability to Model Complex Relationships
Boolean logic is limited to simple combinations of AND/OR/NOT gates. IANNs can approximate complex, nonlinear input–output functions. Efficient Integration of Multiple Inputs</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/franziska-matt/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>