Fernando's model
Computational MethodFernando's model is a computational model of a synthetic molecular circuit designed to mimic Hebbian learning in a neural network architecture. It is described as one of the earliest models in this area to use Hill equation-based regulatory modeling, and computational analysis indicated that a reinforcement effect can be obtained with appropriate parameter choices.