Human Neuromuscular Physiology Laboratory

Human Neuromuscular Physiology Laboratory

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Research Interests

We aim to identify the neural/mechanical interventions and underlying mechanisms for improving motor skills and facilitating motor learning/rehabilitation using integrative approaches. We examine neural activity, motor output (e.g., neural excitability, muscle activity, and limb/hand movement), and memory with various interventions in young and old individuals including clinical populations (e.g., amputees, stroke survivors).

Key words: Neuroscience, Neural Engineering, Human Augmentation, Human-Robot Interaction, Rehabilitation, Sport Science

Research Opportunities

Open to students who are interested in conducting research multiple semesters

Research Projects

Neuromechanical Mechanisms for Motor Skills

  • Autonomic nervous system and neuromotor activity
  • Modulations of neuromotor oscillations
  • Human-Robot interaction

Neural Plasticity with Practice

  • Improvement of human-machine interaction
  • Facilitation of motor learning and rehabilitation

Human Augmentation

  • Wearable robot

Lab News

  • Vasiliy’s study on brain excitability accepted for publication in Experimental Brain Research (May, 2019).
  • Workshop Speaker on Human Neuromuscular Augmentation at International Symposium on Medical Robotics (April, 2019).
  • Awarded an NIH grant (August, 2018).
  • Symposium Speaker on Ultrasound Elastgoraphy at International Society of Electrophysiology and Kinesiology (July, 2018).
  • Collaborative study with engineers on ultrasound-based prosthetic finger control featured in Georgia Tech News, interviewed by IEEE Spectrum, and listed as one of the Best Medical Technologies of 2017 by Medgadjet (December, 2017). See YouTube Video.
  • Shino’s invited commentary “Active Voice: Fight Between Your Muscles – Beat Common Drive for Steady Cocontraction” published in Sports Medicine Bulletin from the American College of Sports Medicine (October, 2017).


Select Publications

      • Buharin VE & Shinohara M. Corticospinal excitability for flexor carpi radialis decreases with baroreceptor unloading during intentional co-contraction with opposing forearm muscles. Experimental Brain Research 2019 (in press).
      • Brown E, Yoshitake Y, Shinohara M, Ueda J. Automatic analysis of ultrasound shear-wave elastography in skeletal muscle without non-contractile tissue contamination. International Journal of Intelligent Robotics and Applications 2: 209-225, 2018.
      • Yoshitake Y, Ikeda A, Shinohara M. Robotic finger perturbation training improves finger postural steadiness and hand dexterity. Journal of Electromyography and Kinesiology 38:208-214, 2018.
      • Ahmar NE & Shinohara M. Slow intermuscular oscillations are associated with cocontraction steadiness. Medicine & Science in Sports & Exercise, 49: 1955–1964, 2017.
      • Kim E, Kovalenko I, Lacey I, Shinohara M, Ueda J. Timing analysis of robotic neuromodulatory rehabilitation system for paired associative stimulation. IEEE Robotics and Automation Letters 1 : 1028-1035, 2016.
      • Weinberg L, Hasni A, Shinohara M, Duarte A. A single bout of resistance exercise can enhance episodic memory performance. Acta Psychologica 153:13-19, 2014.
      • Buharin VE, Butler AJ, Shinohara M. Motor cortical disinhibition with baroreceptor unloading induced by orthostatic stress. Journal of Neurophysiology 111:2656-2664, 2014.
      • Kurita Y, Shinohara M, Ueda J. Wearable sensorimotor enhancer for fingertip using stochastic resonance effect. IEEE Transactions on Human-Machine Systems 43:333-337, 2013.
      • Buharin VE, Butler AJ, Rajendra JK, Shinohara M. Enhanced corticospinal excitability with physiologically heightened sympathetic nerve activity. Journal of Applied Physiology 114:429-435, 2013.
      • Johnson AN, Shinohara M. Corticomuscular coherence with and without additional task in the elderly. Journal of Applied Physiology 112:970-981, 2012.
      • Johnson AN, Huo X, Ghovanloo M, Shinohara M. Dual-task motor performance with a tongue-operated assistive technology compared with hand operations. Journal of NeuroEngineering and Rehabilitation 9:1, 2012.