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EEG and Human Locomotion - Descending Commands and Sensory Feedback should be Disentangled from Artifacts Thanks to New Experimental Protocols Position Paper.

, , , and . BIOSIGNALS, page 309-314. SciTePress, (2012)

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Adaptative time constants improve the prediction capability of recurrent neural networks., , , and . Neural Processing Letters, 2 (3): 12-16 (1995)An efficient learning model for the neural integrator of the oculomotor system., , , and . ESANN, (1993)Adaptative time constants improve the dynamic features of recurrent neural networks., , , and . ESANN, (1996)Evidence of efficiency of recurrent neural networks with ARMA-like units., , , and . ESANN, D-Facto public, (1997)Modulation of the N30 generators of the somatosensory evoked potentials by the mirror neuron system., , , and . NeuroImage, (2014)Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks., , and . ESANN, page 67-72. (1998)Negative initial weights improve learning in recurrent neural networks., , , , , and . ESANN, (1996)EEG and Human Locomotion - Descending Commands and Sensory Feedback should be Disentangled from Artifacts Thanks to New Experimental Protocols Position Paper., , , and . BIOSIGNALS, page 309-314. SciTePress, (2012)Frontal phasic and oscillatory generators of the N30 somatosensory evoked potential., , , and . NeuroImage, 54 (2): 1297-1306 (2011)Are current gait-related artifact removal techniques useful for low-complexity BCIs?, , , , and . IJCNN, page 1-7. IEEE, (2012)