https://pages.htgaa.org/2026a/eric-schneider/homework/week-07-hw-genetic_circuits_part_ii_neuromorphic_circuits/index.htmlThis week covers neuromorphic genetic circuits, showing how engineered gene networks can implement neural-network “perceptron”-like computation and learning. Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) Q1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Answer: IANNs have many possible responses, reflecting more of a gaussian distribution rather than binary ON/OFF outputs. This allows for gradiated, continuous range or responses versus the step-function behavior of Boolean genetic circuits, making them well-suited for environments with high levels of variability such as changing temperatures, pH, or time.Hugoen