Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery
By Manuel Gomez-Rodriguez, Jan Peters, J. Hill, Bernhard Schölkopf, Alireza Gharabaghi, Moritz Grosse-Wentrup. 2011
188 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Fabien Lotte
- Bernhard Schölkopf
- Moritz Grosse-Wentrup
- Christian Mühl
- Florian Larrue
- Dongrui Wu
- Cuntai Guan
- Dominik Janzing
In Social Psychology
Citations in the corpus
- Causal and anti-causal learning in pattern recognition for neuroimaging (2015, background): “We note that more complex experimental paradigms, in which responses again act as stimuli [6], can also be modeled in this way by considering time-resolved variables, e.”
- Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design (2013, background): “These studies have provided mixed results: a combination of audio and visual feedback has been shown to decrease BCI performances (Hinterberger et al., 2004) while a combination of haptic (a.k.a, proprioceptive) and visual feedback increased performances (Gomez Rodriguez et al., 2011; Ramos-Murguial”