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. Author manuscript; available in PMC: 2017 Dec 6.
Published in final edited form as: J Neural Eng. 2016 Jun 1;13(4):046009. doi: 10.1088/1741-2560/13/4/046009

Figure 3.

Figure 3

Adaptive EMG decoder structure and the stochastic gradient training process. At the end of each trial, the linear decoder weights were modified according to the contribution of each neuronal unit to the error in the predicted EMG in comparison to pre-determined optimal EMG for the corresponding force target. During the testing phase, the neuron-to-EMG decoder weights were fixed, and the EMG predictions were transformed into force predictions by a vector sum of the force contribution of each muscle, as determined by the muscle-to-force model.