The brain uses memory Lego to create new behavioral models.

“Princeton researchers found that a primate’s prefrontal cortex reuses modular “cognitive Legos” to solve related tasks, giving biological brains a flexibility that AI still lacks. The insight could help improve AI systems so they retain old skills while learning new ones. Credit: Adapted by Dan Vahaba (Princeton University), from “Brain Silhouette 2” (Littleolred, CC0 1.0, freesvg.org) and “Lego bricks” (Benjamin D. Esham, CC BY-SA 4.0, Wikimedia Commons).” (ScitechDaily, Your Brain Has a Learning Shortcut AI Can’t Copy)

Behavior is the reaction that we see from the outside. And. When an actor notices something, that something acts as a trigger. The trigger launches. A certain behavioral reaction. When we see our friends, we can say “hi”. Or, when we slip on the ice, we put our hands in a certain position, that protects our head from impact with the ground. This means that. When we see something. Hear something, or feel something that causes a reaction. Does something cause a reaction, and what type of reaction is? That depends on the memory blocks connected to that sense. If. There is no memory connection with sense. That doesn’t launch a reaction that we see as behavior. 

The ability to use complete building blocks to create new behavioral models makes human brains more effective than any AI. The AI cannot mimic that ability. Each memory block is like Lego. And. It gives flexibility and effectiveness. To handle memories. And especially the behavior or reflexes. Those are connected with those memories. 

The idea is that there is so-called macro behavior. Behavior is the thing. That. The memory block activates. The modular structure of memories. And actions. What we see from the outside gives humans incredible flexibility. The macro-behavior is like a puzzle, an entirety that includes multiple smaller bits.  Each macro-behavior module can act as a module for larger-scale macro puzzles. 

This means that the human brain handles behavior like a set of modules, which can connect and reconnect with other modules. If we think that. The human brain includes about 100 billion neurons. And each of them has one memory unit. That means there are 100 billion memory units. That gives very high flexibility and morphing ability. For those. Memory structures. The AI cannot mimic those things because that requires the ability to handle so many memory units simultaneously. 

The ability to create new behavioral modules makes human brains effective. The ability to interconnect those modules is unique. One of the reasons. The reason this thing is so unique is that the neuron is not passive. The neuron knows what kind of data it can handle. So it can tell other neurons. That. It's a neuron that processes signals that come from the eye. This means that the neuron that transmits a signal from the retina can ask the routing for data to the neuron that can handle that vision information. 

This saves energy and time because the signal doesn’t disturb other neurons. The transmitter neuron connects a mark. Like a serial number, to the data packet. This information includes data from the transmitter neuron. And if the route that neurons select is wrong. And the receiver neuron cannot handle that information. It can send that information back to the transmitter. Then the routing neurons can ask where the right receiver is. 

https://scitechdaily.com/your-brain-has-a-learning-shortcut-ai-cant-copy/