Advanced exercise: Modify Example 10b to demonstrate how the etha parameter changes over time. Allow for the planned appearances of some objects during the network's lifetime (e.g., early during learning or after training and experience). Run a series of experiments with such a real-life application. Describe your observations and develop conclusions. What observed phenomena have their representations in real-life situations? Which ones result from simplifying real neural networks (brains)?