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Lena H. Ting, Ph.D.

Affiliations: 
Biomedical Engineering Georgia Institute of Technology and Emory University, Atlanta, GA, United States 
Website:
http://www.neuro.gatech.edu/groups/ting/index.html
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"Lena Ting"
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Publications

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Palmer JA, Payne AM, Mirdamadi JL, et al. (2023) Delayed cortical engagement associated with balance dysfunction after stroke. Medrxiv : the Preprint Server For Health Sciences
Abbott EM, Stephens JD, Simha SN, et al. (2023) Attenuation of muscle spindle firing with artificially increased series compliance during stretch of relaxed muscle. Experimental Physiology
Horslen BC, Milburn GN, Blum KP, et al. (2023) History-dependent muscle resistance to stretch remains high after small, posturally relevant pre-movements. The Journal of Experimental Biology. 226
Payne AM, Ting LH, Hajcak G. (2023) The balance N1 and the ERN correlate in amplitude across individuals in small samples of younger and older adults. Experimental Brain Research
Simha SN, Ting LH. (2023) Intrafusal cross-bridge dynamics shape history-dependent muscle spindle responses to stretch. Experimental Physiology
Abbott EM, Stephens JD, Simha SN, et al. (2023) Attenuation of muscle spindle firing with artificially increased series compliance during stretch of relaxed muscle. Biorxiv : the Preprint Server For Biology
Martino G, Beck ON, Ting LH. (2023) Voluntary muscle coactivation in quiet standing elicits reciprocal rather than coactive agonist-antagonist control of reactive balance. Journal of Neurophysiology
Beck ON, Shepherd MK, Rastogi R, et al. (2023) Exoskeletons need to react faster than physiological responses to improve standing balance. Science Robotics. 8: eadf1080
Payne AM, McKay JL, Ting LH. (2022) The cortical N1 response to balance perturbation is associated with balance and cognitive function in different ways between older adults with and without Parkinson's disease. Cerebral Cortex Communications. 3: tgac030
Van Wouwe T, Ting LH, De Groote F. (2022) An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise. Plos Computational Biology. 18: e1009338
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