<?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-zarias-arman-aelius-saadatkhah</title><link>https://pages.htgaa.org/2026a/zarias-arman-aelius-saadatkhah/homework/week-07-hw-neuromorphic-circuits/index.html</link><description>Part 1 — Intracellular Artificial Neural Networks (IANNs) Q1: Advantages of IANNs over Boolean genetic circuits Traditional genetic circuits implement Boolean logic: each node is either “on” or “off,” and the circuit computes AND/OR/NOT/NAND operations over binary input signals. This is powerful for simple decision logic but breaks down for complex, real-world biological classification tasks.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/zarias-arman-aelius-saadatkhah/homework/week-07-hw-neuromorphic-circuits/index.xml" rel="self" type="application/rss+xml"/></channel></rss>