Max Berniker

2014- Mechanical and Industrial Engineering University of Illinois at Chicago, Chicago, IL, United States 
Computational Motor Control
"Max Berniker"
Mean distance: 13.77 (cluster 29)
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Ramkumar P, Acuna DE, Berniker M, et al. (2016) Chunking as the result of an efficiency computation trade-off. Nature Communications. 7: 12176
Berniker M, Jarc A, Kording K, et al. (2016) A Probabilistic Analysis of Muscle Force Uncertainty for Control. Ieee Transactions On Bio-Medical Engineering
Berniker M, Kording KP. (2015) Deep networks for motor control functions. Frontiers in Computational Neuroscience. 9: 32
Acuna DE, Berniker M, Fernandes HL, et al. (2015) Using psychophysics to ask if the brain samples or maximizes. Journal of Vision. 15
Berniker M, Mirzaei H, Kording KP. (2014) The effects of training breadth on motor generalization. Journal of Neurophysiology. 112: 2791-8
Berniker M, Franklin DW, Flanagan JR, et al. (2014) Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning. Journal of Neurophysiology. 111: 1165-82
Berniker M, O'Brien MK, Kording KP, et al. (2013) An examination of the generalizability of motor costs. Plos One. 8: e53759
Jarc AM, Berniker M, Tresch MC. (2013) FES control of isometric forces in the rat hindlimb using many muscles. Ieee Transactions On Bio-Medical Engineering. 60: 1422-30
Berniker M, Kording K. (2011) Bayesian approaches to sensory integration for motor control. Wiley Interdisciplinary Reviews. Cognitive Science. 2: 419-28
Berniker M, Kording KP. (2011) Estimating the relevance of world disturbances to explain savings, interference and long-term motor adaptation effects. Plos Computational Biology. 7: e1002210
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