These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
175 related articles for article (PubMed ID: 23345208)
41. Using ipsilateral motor signals in the unaffected cerebral hemisphere as a signal platform for brain-computer interfaces in hemiplegic stroke survivors. Bundy DT; Wronkiewicz M; Sharma M; Moran DW; Corbetta M; Leuthardt EC J Neural Eng; 2012 Jun; 9(3):036011. PubMed ID: 22614631 [TBL] [Abstract][Full Text] [Related]
42. Sensorimotor rhythm-based brain-computer interface training: the impact on motor cortical responsiveness. Pichiorri F; De Vico Fallani F; Cincotti F; Babiloni F; Molinari M; Kleih SC; Neuper C; Kübler A; Mattia D J Neural Eng; 2011 Apr; 8(2):025020. PubMed ID: 21436514 [TBL] [Abstract][Full Text] [Related]
43. Neural correlates of learning in a linear discriminant analysis brain-computer interface paradigm. Lo YT; Premchand B; Libedinsky C; So RQY J Neural Eng; 2022 Oct; 19(5):. PubMed ID: 36206725 [No Abstract] [Full Text] [Related]
44. Using NIRS as a predictor for EEG-based BCI performance. Fazli S; Mehnert J; Steinbrink J; Blankertz B Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4911-4. PubMed ID: 23367029 [TBL] [Abstract][Full Text] [Related]
45. Subject-specific modulation of local field potential spectral power during brain-machine interface control in primates. So K; Dangi S; Orsborn AL; Gastpar MC; Carmena JM J Neural Eng; 2014 Apr; 11(2):026002. PubMed ID: 24503623 [TBL] [Abstract][Full Text] [Related]
46. Pre-frontal control of closed-loop limbic neurostimulation by rodents using a brain-computer interface. Widge AS; Moritz CT J Neural Eng; 2014 Apr; 11(2):024001. PubMed ID: 24608127 [TBL] [Abstract][Full Text] [Related]
47. EEG datasets for motor imagery brain-computer interface. Cho H; Ahn M; Ahn S; Kwon M; Jun SC Gigascience; 2017 Jul; 6(7):1-8. PubMed ID: 28472337 [TBL] [Abstract][Full Text] [Related]
48. A Closed-loop Brain Computer Interface to a Virtual Reality Avatar: Gait Adaptation to Visual Kinematic Perturbations. Luu TP; He Y; Brown S; Nakagome S; Contreras-Vidal JL Int Conf Virtual Rehabil; 2015 Jun; 2015():30-37. PubMed ID: 27713915 [TBL] [Abstract][Full Text] [Related]
49. The current state of electrocorticography-based brain-computer interfaces. Miller KJ; Hermes D; Staff NP Neurosurg Focus; 2020 Jul; 49(1):E2. PubMed ID: 32610290 [TBL] [Abstract][Full Text] [Related]
50. An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation. Chowdhury A; Raza H; Meena YK; Dutta A; Prasad G J Neurosci Methods; 2019 Jan; 312():1-11. PubMed ID: 30452976 [TBL] [Abstract][Full Text] [Related]
51. Sub-mm functional decoupling of electrocortical signals through closed-loop BMI learning. Ledochowitsch P; Koralek AC; Moses D; Carmena JM; Maharbiz MM Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5622-5. PubMed ID: 24111012 [TBL] [Abstract][Full Text] [Related]
52. Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review. Martini ML; Oermann EK; Opie NL; Panov F; Oxley T; Yaeger K Neurosurgery; 2020 Feb; 86(2):E108-E117. PubMed ID: 31361011 [TBL] [Abstract][Full Text] [Related]
53. A hybrid brain computer interface system based on the neurophysiological protocol and brain-actuated switch for wheelchair control. Cao L; Li J; Ji H; Jiang C J Neurosci Methods; 2014 May; 229():33-43. PubMed ID: 24713576 [TBL] [Abstract][Full Text] [Related]
55. Brain-computer interface (BCI) operation: signal and noise during early training sessions. McFarland DJ; Sarnacki WA; Vaughan TM; Wolpaw JR Clin Neurophysiol; 2005 Jan; 116(1):56-62. PubMed ID: 15589184 [TBL] [Abstract][Full Text] [Related]
56. The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential. Ma T; Li H; Deng L; Yang H; Lv X; Li P; Li F; Zhang R; Liu T; Yao D; Xu P J Neural Eng; 2017 Apr; 14(2):026015. PubMed ID: 28145274 [TBL] [Abstract][Full Text] [Related]
57. Agency and responsibility over virtual movements controlled through different paradigms of brain-computer interface. Nierula B; Spanlang B; Martini M; Borrell M; Nikulin VV; Sanchez-Vives MV J Physiol; 2021 May; 599(9):2419-2434. PubMed ID: 31647122 [TBL] [Abstract][Full Text] [Related]
58. Internal models engaged by brain-computer interface control. Golub MD; Yu BM; Chase SM Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1327-30. PubMed ID: 23366143 [TBL] [Abstract][Full Text] [Related]
59. Performance of motor imagery brain-computer interface based on anodal transcranial direct current stimulation modulation. Wei P; He W; Zhou Y; Wang L IEEE Trans Neural Syst Rehabil Eng; 2013 May; 21(3):404-15. PubMed ID: 23475381 [TBL] [Abstract][Full Text] [Related]
60. Brain-computer interface technology: a review of the Second International Meeting. Vaughan TM; Heetderks WJ; Trejo LJ; Rymer WZ; Weinrich M; Moore MM; Kübler A; Dobkin BH; Birbaumer N; Donchin E; Wolpaw EW; Wolpaw JR IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):94-109. PubMed ID: 12899247 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]