What is expected when other neural networks positively transfer to the new swing movements?

When other neural networks positively transfer to new swing movements, it indicates that the skills and experiences gained from previous practices can effectively enhance the learning process of the new actions. This phenomenon, known as positive transfer, occurs when the brain's existing neural pathways related to similar movements expedite the acquisition of new skills.

Essentially, because there is a familiarity and established motor pattern from prior experiences, an individual can harness this to accelerate their learning curve concerning the new swing movements. With this positive transfer, athletes often find that they do not need to invest as much time in practice to become proficient compared to starting from scratch. This efficiency allows for a quicker mastery of the new skills while still benefiting from the foundations laid by past experiences in similar movements.

In contrast, increased practice requirements, greater mental focus, or additional time spent on conditioning would not typically be expected outcomes of positive transfer, as such scenarios would not align with the advantageous effects of existing knowledge and skills facilitating the learning of new ones.