Okay, so imagine you are playing with your toy building blocks. You can stack them up in different ways to make different kinds of towers.
Now imagine you have a big toy castle made out of blocks. But this castle is special because it has lots of moving parts, like drawbridges and gates that can open and close.
Dynamic causal modelling is kind of like playing with that toy castle. Except instead of blocks, we're using math and computers to simulate how the castle works.
We can change things about the castle, like how fast the drawbridge goes up and down, or how many guards are standing at the gate. Then we can see how those changes affect the other parts of the castle.
This is kind of like trying to figure out how your body and brain work. Your body is like the castle, with lots of different parts that work together. We can use dynamic causal modelling to try and understand how those different parts interact with each other.
Scientists use this to better understand things like how we see or hear things, or how we learn and remember things. It's like taking apart your castle and putting it back together again, but with a better understanding of how it all fits together.