Task-driven neural network models predict neural dynamics of proprioception. (https://pubmed.ncbi.nlm.nih.gov/38518772/)

These scientists wanted to understand how our brains know where our bodies are and how they are moving. They focused on a part of the brain called the cuneate nucleus and another area called somatosensory cortex area 2. To figure this out, they used a computer program to simulate signals from muscles and bones in the body. They then trained the computer program to learn how these signals are processed in the brain.

The scientists came up with 16 different ideas about how the brain might be working to understand body movements. They found that the best way to predict what the brain was doing was by focusing on tasks like figuring out where the body parts are and how they are moving. They also discovered that the brain is more active when we are moving on purpose compared to when we are moving without thinking about it.

In conclusion, the scientists learned that our brains are really good at figuring out where our bodies are and how they are moving, especially when we are doing things on purpose. This helps us move around and do things like play sports or dance!

Marin Vargas A., Bisi A., Chiappa AS., Versteeg C., Miller LE., Mathis A. Task-driven neural network models predict neural dynamics of proprioception. Cell. 2024 Mar 18:S0092-8674(24)00239-3. doi: 10.1016/j.cell.2024.02.036.