The Motor Behavior Lab
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Peer-reviewed publications
"
Planned Straight or Biased to Be So? The Influence of Visual Feedback on Reaching Movements
" Natarajan, V., Penny, S., Berniker, M., Journal Of Motor Behavior (2019)
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Visual feedback of hand and target location does not explain the tendency for straight adapted reaches
" Zahed, F., Berniker, M.,
PLoS one
(2018).
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A normative approach to neuromotor control
," Berniker, M., Penny, S.
Biological Cybernetics
(2018).
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Chunking as the result of an efficiency computation trade-off
," Ramkumar, P., Acuna, D.E., Berniker, M., Grafton, S.T., Turner, R.S. & Kording, K.,
Nature Communications
7 (2016).
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A Probabilistic Analysis of Muscle Force Uncertainty for Control
,"
Berniker, M., Jarc, A., Kording, K. and Tresch, M., IEEE Transactions on Biomedical Engineering
.
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Deep networks for motor control functions
," M.
Berniker, and K. P. Kording.
Frontiers in Computational Neuroscience
9 (2015): 32.
"
Using psychophysics to ask if the brain samples or maximizes
," D.E.
Acuna, M.
Berniker, H.L. Fernandes, & K.P. Kording,
Journal of vision
15.3 (2015): 7.
“
The effects of training breadth on motor generalization
,” M. Berniker, H. Mizraei Buini, & K. Kording, J Neurophysiol
00615.2013
.
“
Motor learning of novel dynamics is not represented in a single global coordinate system
: evaluation of mixed coordinate representations and local learning,” M. Berniker, D. Franklin, R. Flanagan, D. Wolpert & K. Kording, J Neurophysiol 111:1165-1182.
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An examination of the generalizability of motor costs
,” M. Berniker, M. O’Brien, K. Kording & A. Ahmed, PLoS ONE; 8(1): e53759.
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FES control of isometric forces in the rat hindlimb using many muscles
,” Jarc, A., Berniker, M., and Tresch, M., IEEE Transactions on Biomedical Engineering.
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Estimating the relevance of world disturbances to explain savings, interference and long-term motor adaptation effects
,” Berniker, M. and Kording, K., PLoS Comput Biol; 7(10): e1002210.
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Discrete-time local dynamic programming
,” Berniker, M. and Kording, K., in American Control Conference, 618-25.
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Learning priors for Bayesian computations in the nervous system
,” Berniker, M., Voss, M. and Kording, K., PLoS ONE; 5(9): e12686.
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Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics
,” Berniker, M., Jarc, A., Bizzi, E., and Tresch, M., Proceedings of the National Academy of Sciences; 106(18): 7601-06.
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Estimating the sources of motor errors for adaptation and generalization
,” Berniker, M. and Kording, K., Nature Neuroscience; 11(12): 1454-61.
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Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits
,” Au, S., Berniker, M., and Herr, H., Neural Networks; 21(4): 654-66.
Book chapters
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Bayesian sensorimotor control
,” in Scholarpedia, www.scholarpedia.org/article/Bayesian sensorimotor control, under revision.
“
Bayesian Approaches to Sensory Integration for Motor Control
,” in Wiley Interdisciplinary Reviews: Cognitive Science, 2: 419-28.
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Bayesian approaches to modeling action selection
,” in Modeling natural action selection, A. K. Seth, Ed. Cambridge: Cambridge University Press.
“
Bayesian Models of Motor Control
,” In: Encyclopedia of Neuroscience, L.R. Squire Ed. vol. 2, Oxford: Academic Press.