<?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: Neuromorphic Circuits :: 2026a-justine-de-riedmatten</title><link>https://pages.htgaa.org/2026a/justine-de-riedmatten/homework/week-07-hw-genetic-circuits-part-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 behaviours are Boolean functions?
The main limitation of traditional genetic circuits is their restricted control over the strength, timing, and cellular context of therapeutic effects, as their input–output behaviour is usually constrained to simple Boolean logic. In contrast, IANNs can provide finer control of gene expression and cellular behaviour by tuning promoters, repressors, and other genetic components, and they can also sum and weight multiple inputs within a single network, rather than relying on many individually wired logic gates, which become complex and error‑prone.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/justine-de-riedmatten/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>