Kurt Thoroughman

Infobox_Scientist
name = Kurt A. Thoroughman


caption = Kurt Thoroughman at Washington University in St. Louis
birth_date = Birth date and age|1972|1|31|mf=y
birth_place = Kalamazoo, MI
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residence = United States
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field = Computational Neuroscience, Motor Control
work_institution =Washington University
Brandeis University
Johns Hopkins University
University of Chicago
alma_mater = University of Chicago
doctoral_students =
known_for = Trial-by-Trial Approach to Motor Learning
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Kurt A. Thoroughman (born 31 January 1972) is an Assistant Professor in the Department of Biomedical Engineering at Washington University in St. Louis. He is known for his work in the study of motor control, motor learning, and computational neuroscience.

Thoroughman investigates how humans plan, control, and learn new movements. Understanding normal motor behavior and its neural basis will further the development of insightful clinical tests in movement neurology, and facilitate the early detection and treatment of motor diseases.

Thoroughman graduated with a PhD in Biomedical Engineering from Johns Hopkins University in 1999. After completion of his PhD, Thoroughman worked in a two year postdoctoral position with Eve Marder at Brandeis University.

elected publications

cite journal
author=Fine MS, Thoroughman KA |title=Trial-by-trial transformation of error into sensorimotor adaptation changes with environmental dynamics |journal=J. Neurophysiol. |volume=98 |issue=3 |pages=1392–404 |year=2007 |month=Sep |pmid=17615136 |doi=10.1152/jn.00196.2007

cite journal
author=Thoroughman KA, Wang W, Tomov DN |title=Influence of viscous loads on motor planning |journal=J. Neurophysiol. |volume=98 |issue=2 |pages=870–7 |year=2007 |month=Aug |pmid=17522176 |doi=10.1152/jn.01126.2006

cite journal
author=Taylor JA, Thoroughman KA |title=Divided attention impairs human motor adaptation but not feedback control |journal=J. Neurophysiol. |volume=98 |issue=1 |pages=317–26 |year=2007 |month=Jul |pmid=17460104 |doi=10.1152/jn.01070.2006

cite journal
author=Fine MS, Thoroughman KA |title=Motor adaptation to single force pulses: sensitive to direction but insensitive to within-movement pulse placement and magnitude |journal=J. Neurophysiol. |volume=96 |issue=2 |pages=710–20 |year=2006 |month=Aug |pmid=16707722 |doi=10.1152/jn.00215.2006

cite journal
author=Thoroughman KA, Taylor JA |title=Rapid reshaping of human motor generalization |journal=J. Neurosci. |volume=25 |issue=39 |pages=8948–53 |year=2005 |month=Sep |pmid=16192385 |doi=10.1523/JNEUROSCI.1771-05.2005

cite journal
author=Thoroughman KA |title=Flexible control of flexible objects. Focus on "An experimentally confirmed mathematical model for human control of a non-rigid object" |journal=J. Neurophysiol. |volume=91 |issue=3 |pages=1109–10 |year=2004 |month=Mar |pmid=14973324 |doi=10.1152/jn.01060.2003

cite journal
author=Soto-Treviño C, Thoroughman KA, Marder E, Abbott LF |title=Activity-dependent modification of inhibitory synapses in models of rhythmic neural networks |journal=Nat. Neurosci. |volume=4 |issue=3 |pages=297–303 |year=2001 |month=Mar |pmid=11224547 |doi=10.1038/85147

cite journal
author=Thoroughman KA, Shadmehr R |title=Learning of action through adaptive combination of motor primitives |journal=Nature |volume=407 |issue=6805 |pages=742–7 |year=2000 |month=Oct |pmid=11048720 |doi=10.1038/35037588

cite journal
author=Thoroughman KA, Shadmehr R |title=Electromyographic correlates of learning an internal model of reaching movements |journal=J. Neurosci. |volume=19 |issue=19 |pages=8573–88 |year=1999 |month=Oct |pmid=10493757 |doi= |url=http://www.jneurosci.org/cgi/pmidlookup?view=long&pmid=10493757

External links

* [http://labs.seas.wustl.edu/bme/kathoroughman/ Laboratory of Neural Computation and Motor Behavior]
* [http://bme.seas.wustl.edu/ Washington University Biomedical Engineering Website]
* [http://news-info.wustl.edu/tips/page/normal/5858.html Biomedical engineer shows how people learn motor skills]
* [http://record.wustl.edu/news/page/normal/7455.html Researchers find new learning strategy: A size of a mistake makes no difference]