Till Bockemühl, Ph.D.

Affiliations: 
Animal Physiology, Zoological Institute University of Cologne, Köln, Nordrhein-Westfalen, Germany 
Area:
motor control, locomotion, invertebrates
Website:
http://www.neuro.uni-koeln.de/neuro-bueschges.html
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"Till Bockemühl"
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Publications

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Mantziaris C, Bockemühl T, Büschges A. (2020) Central Pattern Generating Networks in Insect Locomotion. Developmental Neurobiology
Szczecinski NS, Bockemühl T, Chockley AS, et al. (2018) Static stability predicts the continuum of interleg coordination patterns in . The Journal of Experimental Biology
Bidaye SS, Bockemühl T, Büschges A. (2017) Six-legged walking in insects: how CPGs, peripheral feedback, and descending signals generate coordinated and adaptive motor rhythms. Journal of Neurophysiology. jn.00658.2017
Mantziaris C, Bockemühl T, Holmes P, et al. (2017) Intra- and intersegmental influences among central pattern generating networks in the walking system of the stick insect. Journal of Neurophysiology. jn.00321.2017
Berendes V, Zill SN, Büschges A, et al. (2016) Speed-dependent interplay between local pattern-generating activity and sensory signals during walking in Drosophila. The Journal of Experimental Biology
Gruhn M, Rosenbaum P, Bockemühl T, et al. (2016) Body side-specific control of motor activity during turning in a walking animal. Elife. 5
Berendes V, Dübbert M, Bockemühl T, et al. (2013) A laser-supported lowerable surface setup to study the role of ground contact during stepping. Journal of Neuroscience Methods. 215: 224-33
Wosnitza A, Bockemühl T, Dübbert M, et al. (2013) Inter-leg coordination in the control of walking speed in Drosophila. The Journal of Experimental Biology. 216: 480-91
Bockemühl T, Troje NF, Dürr V. (2010) Inter-joint coupling and joint angle synergies of human catching movements. Human Movement Science. 29: 73-93
Bockemühl T, Dürr V. (2010) A minimal control schema for goal-directed arm movements based on physiological inter-joint couplings Icfc 2010 Icnc 2010 - Proceedings of the International Conference On Fuzzy Computation and International Conference On Neural Computation. 220-226
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