Official site of the Laboratory for Brain Recovery and Function

This past Friday saw another lab member successfully defend their thesis. This time around, MSc student Ross Story defended his work applying machine learning to brain activity data collected as part of a motor imagery neurofeedback study. Ross’s work uses machine learning to pick out key features of the brain data that best represent motor imagery, and thus could be used to create the ideal neurofeedback signal. Congratulations to Ross!