Marco Santello

情報・人工知能研究

Marco Santello

特定教授

Sensorimotor control

略歴

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.

WRHIへの期待

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.

研究プロジェクト

  • 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

2019-

Visiting Professor, Institute of Innovative Research, Tokyo Institute of Technology

 

ARIZONA STATE UNIVERSITY
School of Biological and Health Systems Engineering, Ira A. Fulton Schools of Engineering

4. 2017-Present

BRAIN, NSF Industry/University Cooperative Research Center, Director

5. 2012 - Present

Director

5. 2011 - 4. 2012

 Interim Director

5. 2011 - Present

Harrington Endowed Chair

7. 2010

Professor

9. 2000

Affiliate Faculty

 

ARIZONA STATE UNIVERSITY
Department of Kinesiology, College of Liberal Arts and Sciences

1-6. 2010

Interim Chair

8. 2009

Professor

8. 2004

Associate Professor

8. 1999

Assistant Professor

2018

National Science Foundation
BCS-1827752 “Collaborative Research: Effector and Task Neural Representations of Hand-Object Interactions”
$449,383; 09/01/18-08/31/22
PI (recognition: 50%); Co-I: Justin Fine.

2017

National Science Foundation
CNS-1650566 “I/UCRC: Building Reliable Advances and Innovation in Neurotechnology (BRAIN)”
$750,000 (recognition: 100%); 03/15/17-02/28/22
Co-PIs: William Tyler, Jeffrey Kleim.

2017

Defense Advanced Research Projects Agency (DARPA), Department of Defense
W911NF-17-1-0049 “Sensorimotor control of grasping and manipulation through a soft-synergy prosthetic hand and peripheral neural interface system”
$817,276 (recognition: 50%); 02/01/17-07/31/18
Co-PIs: Qiushi Fu; James Abbas. Sub-contract PI: Ranu Jung, Florida International University.

2016

Mayo Clinic-Arizona State University Team Science Grants
“A multi-disciplinary approach to optimize integration of sensory feedback for prosthetic applications in persons with upper limb loss”
$900,000 (recognition: 50%); 07/01/16-06/30/19
ASU PI: Marco Santello, ASU Co-I: Rosalind Sadleir. Mayo PI: Kristin Zhao, Mayo Co-I: Karen Andrews.

2019

Toma S, Santello M. Motor modules account for active perception of force. Scientific Reports 9:8983.

2019

Davare M, Parikh P, Santello M. Sensorimotor uncertainty modulates corticospinal excitability during skilled object manipulation. Journal of Neurophysiology 121:1162-70.

2018

Fu Q, Santello M (2018). Improving fine control of grasping force during hand-object interactions for a soft synergy-inspired myoelectric prosthetic hand. Frontiers in Neurorobotics 11:71. doi: 10.3389/fnbot.2017.00071.

2017

Shibata D, Santello M. Role of digit placement control on sensorimotor transformations for dexterous manipulation. Journal of Neurophysiology 118:2935-2943.

2017

Mojtahedi K, Fu Q, Santello M. On the role of dyadic interactions on performance of object manipulation. Frontiers in Human Neuroscience 11:533. doi: 10.3389/fnhum.2017.00533

2017

Fine JM, Moore D, Santello M. Neural oscillations reflect latent learning states underlying dual-context sensorimotor adaptation. NeuroImage 15:93-105. doi: 10.1016/j.neuroimage.2017.09.026.

2016

Santello M, Bianchi M, Gabiccini M, Ricciardi E, Salvietti G, Prattichizzo D, Ernst M, Moscatelli A, Jorntell H, Kappers A, Kyriakopoulos K, Albu Schaeffer A, Castellini C, Bicchi A . Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands. Physics of Life Reviews 17:1-23.

2015

Mojtahedi K, Fu Q, Santello M. Extraction of time and frequency features from grip force rates during dexterous manipulation. IEEE Transactions on Biomedical Engineering 62:1363-75. doi: 10.1109/TBME.2015.2388592.

2013

Santello M, Baud-Bovy G, Jörntell H. Neural bases of hand synergies. Invited contribution to Research Topic on Modularity in Motor Control, Frontiers in Computational Neuroscience 7:23. doi:10.3389/fncom.2013.00023.

2012

Fu Q, Santello M. Context-dependent sensorimotor memory interferes with visuomotor transformations for manipulation planning. Journal of Neuroscience 32:15086-15092.

2011

Fu Q, Hasan Z, Santello M. Transfer of learned manipulation following changes in degrees of freedom. Journal of Neuroscience 31:13576-13584.

2010

Fu Q, Zhang W, Santello M. Anticipatory planning and control of grasp positions and forces for dexterous two-digit manipulation. Journal of Neuroscience 30:9117-9126.

2007

Lukos J, Ansuini C, Santello M. Choice of contact points during multi-digit grasping: effect of predictability of object center of mass location. Journal of Neuroscience 27:3894-3903. Issue cover.

2004

Winges SA, Santello M. Common input to motor units of digit flexors during multi-digit grasping. Journal of Neurophysiology 92:3210-3220.

1998

Santello M, Flanders M, Soechting JF. Postural synergies for tool use. Journal of Neuroscience 18:10105-10115.