<?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-diana-grimaldos</title><link>https://pages.htgaa.org/2026a/diana-grimaldos/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Instead of relying on ON/OFF logic, they process information in a continuous and distributed way, closer to how real cells behave. This allows them to integrate multiple signals with different intensities and avoid the exponential complexity that arises when scaling Boolean circuits. In addition, IANNs are inherently more flexible, since their behavior can be tuned by adjusting interaction strengths rather than completely redesigning the system, enabling more complex and nonlinear decision-making. Overall, they provide a more efficient, scalable, and biologically realistic framework for intracellular computation.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/diana-grimaldos/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>