Dr. Russell Chan - Quantifying the individual in motor sequence learning скачать в хорошем качестве

Dr. Russell Chan - Quantifying the individual in motor sequence learning

Talk given by Dr. Russell Chan on April 22, 2025 Abstract: In motor learning across health and disease, the holy grail is to correctly quantify individual performance and augment training for enhanced learning gains. Although theoretical frameworks provide the foundation, unique individual phenomena are often masked but are essential to provide idiosyncratic training. In this talk, I firstly outline my work to progress experiments in motor sequence learning from finger-based tasks to whole-body learning combined with mobile multimodal technologies. Next, I focus on the quantification of individualised human motor learning in both the brain and body and finally outline a short outlook of future applications. My approach contributes to one of many possible solutions that aim to tackle the hard problem of individualisation in motor learning.