<?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 :: 2026a-ian-teran</title><link>https://pages.htgaa.org/2026a/ian-teran/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 behaviors are Boolean functions?
Continuous signal processing: Unlike Boolean circuits that operate in binary (On/Off), IANNs can process graded inputs and outputs, enabling more nuanced cellular responses.
Integration of multiple inputs: IANNs can combine many signals simultaneously and compute a weighted response, similar to an artificial neural network.
Instead of being limited to simple logic gates (and, or, not), IANNs can model nonlinear relationships between inputs and outputs.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/ian-teran/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>