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)
• "Visual feedback of hand and target location does not explain the tendency for straight adapted reaches" Zahed, F., Berniker, M., PLoS one (2018).
• "A normative approach to neuromotor control," Berniker, M., Penny, S. Biological Cybernetics (2018).
• "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).
• "A Probabilistic Analysis of Muscle Force Uncertainty for Control," Berniker, M., Jarc, A., Kording, K. and Tresch, M., IEEE Transactions on Biomedical Engineering.
• "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. 
• “An examination of the generalizability of motor costs,” M. Berniker, M. O’Brien, K. Kording & A. Ahmed, PLoS ONE; 8(1): e53759. 
• “FES control of isometric forces in the rat hindlimb using many muscles,” Jarc, A., Berniker, M., and Tresch, M., IEEE Transactions on Biomedical Engineering. 
• “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. 
• “Discrete-time local dynamic programming,” Berniker, M. and Kording, K., in American Control Conference, 618-25. 
• “Learning priors for Bayesian computations in the nervous system,” Berniker, M., Voss, M. and Kording, K., PLoS ONE; 5(9): e12686. 
• “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. 
• “Estimating the sources of motor errors for adaptation and generalization,” Berniker, M. and Kording, K., Nature Neuroscience; 11(12): 1454-61.
• “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. 

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Book chapters

• “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.
  
• “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.