learning new skills

Learning new skills effectively involves understanding different types of skills and optimizing practice routines. Andrew Huberman discusses two types of skills—open loop and closed loop. Open loop skills, like throwing darts, provide feedback after the action, while closed loop skills involve real-time adjustment, such as running or swimming strokes. Recognizing the type can enhance how you approach learning new skills 1.

After practice, doing nothing for a short period is recommended to allow the brain to consolidate newly learned skills. This involves the replay of the correct motor sequences, initially in reverse, which helps embed these skills into memory 2. It's important to minimize sensory input during this rest period to maximize learning consolidation. Then, during sleep, these sequences are played forwards, which further aids in skill retention 3.

The concept of embracing errors is also crucial for skill learning. Andrew Huberman mentions that making errors triggers a state of heightened focus, which can accelerate learning. The optimal learning scenario involves getting things right about 85% of the time, with a 15% error rate to induce neuroplasticity and enhance learning processes 4. Additionally, quality of practice is emphasized over sheer quantity, suggesting shorter, focused training sessions rather than prolonged ones, to prevent fatigue from affecting the accuracy of learning 5.

In summary, understanding the type of skill, allowing for rest post-practice, optimizing error rates, and focusing on quality over quantity are key strategies for effective skill acquisition as discussed by Andrew Huberman.