<?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 — Genetic Circuits Part II: Neuromorphic Circuits :: 2026a-sergio-cuiza</title><link>https://pages.htgaa.org/2026a/sergio-cuiza/homework/week-7--genetic-circuits-part-ii-neuromorphic-circuits/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? Describe a useful application for an IANN; include a detailed description of input/output behavior, as well as any limitations an IANN might face to achieve your goal. Below is a diagram depicting an intracellular single-layer perceptron where the X1 input is DNA encoding for the Csy4 endoribonuclease and the X2 input is DNA encoding for a fluorescent protein output whose mRNA is regulated by Csy4. Tx: transcription; Tl: translation.Draw a diagram for an intracellular multilayer perceptron where layer 1 outputs an endoribonuclease that regulates a fluorescent protein output in layer 2.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/sergio-cuiza/homework/week-7--genetic-circuits-part-ii-neuromorphic-circuits/index.xml" rel="self" type="application/rss+xml"/></channel></rss>