Senior Postdoctoral Scientist
Huiling studied Control Engineering at Beijing University of Aeronautics and was awarded Undergraduate Academic Excellence Scholarship (1996-2000). In 2003, she came to the University of Oxford with an Oxford Overseas Research Scholarship and China Oxford Scholarship. After completing her D.Phil. in Engineering Sciences at the University of Oxford in Dec 2006 and while she was working as a post-doctoral research associate, Huiling studied Psychology with Open University and was awarded BSc in Psychology with Honours (1st class).
Huiling’s recent research focuses the role of the basal ganglia in motor control and motor learning, and how information important for motor control and motor learning is represented, processed and transmitted in different networks of the brain, including the motor cortex and the basal ganglia. Her recent work has revealed how frequency-specific oscillations in the local field potentials (LFP) recorded from the basal ganglia contribute to encoding gripping force, motor effort and other movement related information. She is also interested in how malfunction of these oscillations can lead to symptoms in different movement disorders, in particular, Parkinson’s disease.
The overarching aim of Huiling’s research is to use these arising insights in a brain-machine interface (BMI) context to improve the quality of life for the neurologically impaired. With this, she aim to translate the neuroscience and engineering knowledge into clinical therapies in order to recover function and ameliorate symptoms, whilst at the same time answering to fundamental neuroscience questions.
Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans.
Tan H. et al, (2016), Elife, 5
Subthalamic nucleus local field potential activity helps encode motor effort rather than force in parkinsonism.
Tan H. et al, (2015), J Neurosci, 35, 5941 - 5949
Human subthalamic nucleus in movement error detection and its evaluation during visuomotor adaptation.
Tan H. et al, (2014), J Neurosci, 34, 16744 - 16754
Midline frontal cortex low-frequency activity drives subthalamic nucleus oscillations during conflict.
Zavala BA. et al, (2014), J Neurosci, 34, 7322 - 7333
Dynamic neural correlates of motor error monitoring and adaptation during trial-to-trial learning.
Tan H. et al, (2014), J Neurosci, 34, 5678 - 5688