<?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 II - Neuromorphic Circuits :: 2026a-elsa-donovan</title><link>https://pages.htgaa.org/2026a/elsa-donovan/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? IANNs are interesting and different than traditional genetic circuits becuase their inputs are continous molecular concentrations. So a basic artificial neuron can take 2 inputs and have an output that is a constantly changing and evolving based on the changing concentration amounts of the inputs. They are able to therefore handle more complexity than traditional genetic circuits. You might need multiple genetic circuits to create calculations IANNs can do.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/elsa-donovan/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>