Virtual Reality Game-Based Adaptive Neurofeedback Training for Motor Imagery
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51455-5_33
Reference11 articles.
1. Wang, Z., Cao, C., Chen, L., et al.: Multimodal neural response and effect assessment during a BCI-based neurofeedback training after stroke. Front. Neurosci. 16, 884420 (2022). https://doi.org/10.3389/fnins.2022.884420
2. Sitaram, R., Ros, T., Stoeckel, L., et al.: Closed-loop brain training: the science of neurofeedback. Nat. Rev. Neurosci. 18(2), 86–100 (2017). https://doi.org/10.1038/nrn.2016.164
3. Biasiucci, A., Leeb, R., Iturrate, I., et al.: Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke. Nat. Commun. 9(1), 2421 (2018). https://doi.org/10.1038/s41467-018-04673-z
4. Hecht, D., Reiner, M., & A, K.: Enhancement of response times to bi- and tri-modal sensory stimuli during active movements. Exp. Brain. Res. 185(4), 655-665 (2008). https://doi.org/10.1007/s00221-007-1191-x
5. Shams, L., AR, S.: Benefits of multisensory learning. Trends Cogn. Sci. 12(11), 411-417 (2008). https://doi.org/10.1016/j.tics.2008.07.006
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