While artificial intelligence (AI) traditionally stems from human brain dynamics, brain learning is known to be restricted in several significant aspects compared to deep learning (DL). For instance, efficient DL wiring structures consist of tens of consecutive, or “feedforward” layers, while brain dynamics consists of only a few of them. Moreover, deep learning architectures also have many consecutive filter layers, which are crucial for identifying input classes.  If the input is a car, for example, the first filter identifies its wheels, the second one its doors, the...