Marco Santello received a Bachelor in Kinesiology from the University of L'Aquila, Italy, in 1990 and a Doctoral degree in Sport and Exercise Science from the University of Birmingham (U.K.) in 1995. After a post-doctoral fellowship at the Department of Physiology (now Neuroscience) at the University of Minnesota, he joined the Department of Kinesiology at Arizona State University (ASU) (1999-2010). He is currently Professor of Biomedical Engineering, Director, Harrington Endowed Chair at the School of Biological and Health Systems Engineering, and leads the NSF-supported industry-university cooperative research center in neurotechnology BRAIN. His main research interests are motor control, learning, haptics, and multisensory integration. His Neural Control of Movement laboratory uses complementary research approaches, ranging from non-invasive neuromodulation transcranial magnetic stimulation to motion tracking, electroencephalography, and virtual reality environments. His work (100+ publications) has been published in neuroscience and engineering journals, and has been supported by the National Institutes of Health, the National Science Foundation, DARPA, the Whitaker Foundation, The Mayo Clinic, and Google. He has served as grant reviewer for US and European funding agencies, and member of the Editorial Board of Transactions on Haptics and The Journal of Assistive, Rehabilitative and Therapeutic Technologies. He is a member of the Society for Neuroscience, the Society of Neural Control of Movement, and IEEE.

I expect to extend my knowledge about neural data (e.g., EEG) analyses and modeling, as well as expand the range of behavioral experimental protocols (e.g., peripheral nerve stimulation) This new knowledge will be used to design behavioral protocols addressing how the central nervous system gates sensory feedback for motor planning and execution.

• Sensory gating in dexterous hand-object interactions

  The goal of the project is to determine how sensory gating is implemented at different spatial and temporal levels during planning and execution of dexterous hand-object interactions. This will be addressed by manipulating the degree of sensory predictions and magnitude of prediction errors within and across trials.
  
  - Period: August 1, 2018 - March 31, 2022
  - Members: Dr. Natsue Yoshimura, Dr. Yasuharu Koike, Dr. Kazuhiko Seki, Dr. Kazumasa Uehara.

  Sensory gatingDexterous manipulationPredictionMotor error