https://pages.htgaa.org/2026a/sara-gaviria-escobar/homework/week-07-hw-genetic-circuits-part-ii/index.htmlAssignment Part 1: Intracellular Artificial Neural Networks (IANNs) 1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Characteristic Intracellular Artificial Neural Networks Traditional Genetic Circuits (that use Boolean functions) Input-output mapping Continuous logic that can sum multiple inputs with determined importance or “weights”. This allows for classification of complex patterns. Discrete simple logic (AND, OR, NAND) with ON/OFF behaviors. Vulnerability to noise Since they rely on graded responses, they can average across inputs. This makes them less vulnerable to change output when exposed to noise. Sensitive to noise around thresholds. If there are small fluctuations the ON/OFF gate can be flipped. Decision-making They classify inputs into categories at once and produce signals to different “effector modules” (also called “winner-take-all decisions” in mammalian cells, as mentioned in Chen et al., 2024). This also allows for higher adaptive behavior. They often produce a single binary output per circuit. This makes them less adaptable. Table created using information taken from:Hugoen