<?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-sofya-rakitina</title><link>https://pages.htgaa.org/2026a/sofya-rakitina/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
Analogue quality of computations (not just on and off, but rather treat them more like waves -&gt;easier to work with) -&gt; Thresholds finetuning works You can also work with more inputs simultaneously that will automatically become a weighted sum Which also means they can be trained like neural networks! whereas Boolean functions are just True/False with operators AND, OR, and NOT</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/sofya-rakitina/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>