Brain Activity Reveals Multiple Motor-Learning Mechanisms in a Real-World Task

Frontiers in Human Neuroscience

Shlomi Haar¹  A. Aldo Faisal⁴ 

[1] Behaviour Analytics Lab, Data Science Institute, Imperial College London, London, United Kingdom;Brain and Behaviour Laboratory, Department of Bioengineering, Imperial College London, London, United Kingdom;Department of Computing, Imperial College London, London, United Kingdom;MRC London Institute of Medical Sciences, London, United Kingdom;

关键词: motor learning;    skill;    real-world;    EEG;    post-movement beta rebound;    motor neuroscience;   

DOI  :  10.3389/fnhum.2020.00354

来源: DOAJ

【 摘 要 】

Many recent studies found signatures of motor learning in neural beta oscillations (13–30 Hz), and specifically in the post-movement beta rebound (PMBR). All these studies were in controlled laboratory-tasks in which the task designed to induce the studied learning mechanism. Interestingly, these studies reported opposing dynamics of the PMBR magnitude over learning for the error-based and reward-based tasks (increase vs. decrease, respectively). Here, we explored the PMBR dynamics during real-world motor-skill-learning in a billiards task using mobile-brain-imaging. Our EEG recordings highlight the opposing dynamics of PMBR magnitudes (increase vs. decrease) between different subjects performing the same task. The groups of subjects, defined by their neural dynamics, also showed behavioral differences expected for different learning mechanisms. Our results suggest that when faced with the complexity of the real-world different subjects might use different learning mechanisms for the same complex task. We speculate that all subjects combine multi-modal mechanisms of learning, but different subjects have different predominant learning mechanisms.

【 授权许可】

Unknown