Brainâ€“Computer Interfaces - Index of

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60 G. Pfurtscheller and C. Neuper 4. G. Pfurtscheller and A. Aranibar, Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movements. Electroencephalogr Clin Neurophysiol, 46, 138–146, (1979). 5. G. Pfurtscheller, Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest. Electroencephalogr Clin Neurophysiol, 83, 62–69, (1992). 6. G. Pfurtscheller and F.H. Lopes da Silva, Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol, 110, 1842–1857, (1999). 7. B. Graimann, J.E. Huggins, S.P. Levine, et al., Visualization of significant ERD/ERS patterns multichannel EEG and ECoG data. Clin Neurophysiol, 113, 43–47, (2002). 8. G. Pfurtscheller and F. H. L. da Silva, Handbook of electroencephalography and clinical neurophysiology, vol. 6, 1st edn, 1999 ed, Elsevier, New York, (1999). 9. C. Neuper, R. Scherer, S.C. Wriessnegger, et al., Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain computer interface, Clin Neurophysiol, 120, 239–47, (2009). 10. G. Pfurtscheller and T. Solis-Escalante, Could the beta rebound in the EEG be suitable to realize a “brain switch”? Clin Neurophysiol, 120, 24–9, (2009). 11. G. Pfurtscheller, R. Scherer, G.R. Müller-Putz, F.H. Lopes da Silva, Short-lived brain state after cued motor imagery in naive subjects. Eur J Neurosci,28, 1419–26, (2008). 12. G. Pfurtscheller and C. Neuper, Event–related synchronization of mu rhythm in the EEG over the cortical hand area in man. Neurosci Lett, 174, 93–96, (1994). 13. S. Salenius, R. Salmelin, C. Neuper, et al., Human cortical 40 Hz rhythm is closely related to EMG rhythmicity. Neurosci Lett, 213, 75–78, (1996). 14. N.E. Crone, D.L. Miglioretti, B. Gordon, et al., Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band. Brain, 121, 2301–2315, (1998). 15. G. Pfurtscheller, B. Graimann, J.E. Huggins, et al., Spatiotemporal patterns of beta desynchronization and gamma synchronization in corticographic data during self-paced movement. Clin Neurophysiol, 114, 1226–1236, (2003). 16. J.E. Guieu, J.L. Bourriez, P. Derambure, et al., Temporal and spatial aspects of event-related desynchronization nand movement-related cortical potentials, Handbook Electroencephalogr Clin Neurophysiol, 6, 279–290, (1999). 17. R. Beisteiner, P. Höllinger, G. Lindinger, et al., Mental representations of movements. Brain potentials associated with imagination of hand movements. Electroencephalogr Clin Neurophysiol, 96, 83–193, (1995). 18. G. Pfurtscheller and C. Neuper, Motor imagery activates primary sensimotor area in humans. Neurosci Lett, 239, 65–68, (1997). 19. G. Pfurtscheller and A. Berghold, Patterns of cortical activation during planning of voluntary movement. Electroencephalogr Clin Neurophysiol, 72, 250–258, (1989). 20. P. Derambure, L. Defebvre, K. Dujardin, et al., Effect of aging on the spatio temporal pattern of event related desynchronization during a voluntary movement. Electroencephalogr Clin Neurophysiol, 89, 197–203, (1993). 21. C. Toro, G. Deuschl, R. Thatcher, et al., Event–related desynchronization and movement related cortical potentials on the ECoG and EEG. Electroencephalogr Clin Neurophysiol, 93, 380–389, (1994). 22. A. Stancàk Jr and G. Pfurtscheller, Event-related desynchronization of central beta-rhythms during brisk and slow self-paced finger movements of dominant and nondominant hand. Cogn Brain Res, 4, 171–183, (1996). 23. F. Cassim, C. Monaca, W. Szurhaj, et al., Does post-movement beta synchronization reflect an idling motor cortex? Neuroreport, 12, 3859–3863, (2001). 24. C. Neuper and G. Pfurtscheller, Event-related dynamics of cortical rhythms: frequencyspecific features and functional correlates. Int J Psychophysiol, 43, 41–58, (2001). 25. M. Alegre, A. Labarga, I.G. Gurtubay, et al., Beta electroencephalograph changes during passive movements: sensory afferences contribute to beta event-related desynchronization in humans. Neurosci Lett, 331, 29–32, (2002).
Dynamics of Sensorimotor Oscillations in a Motor Task 61 26. G. Pfurtscheller, C. Neuper, and G. Krausz, Functional dissociation of lower and upper frequency mu rhythms in relation to voluntary limb movement. Clin Neurophysiol, 111, 1873–1879, (2000). 27. G. Pfurtscheller, C. Neuper, D. Flotzinger, et al., EEG-based discrimination between imagination of right and left hand movement. Electroencephalogr Clin Neurophysiol, 103, 642–651, (1997). 28. L. Leocani, G. Magnani, and G. Comi, Event-related desynchronization during execution, imagination and withholding of movement. In: G. Pfurtscheller and F. Lopes da Silva (Eds.), Event-related desynchronization. Handbook of electroenceph and clinical neurophysiology, vol. 6, Elsevier, pp. 291–301, (1999). 29. M. Jeannerod, Mental imagery in the motor context. Neuropsychologia, 33 (11), 1419–1432, (1995). 30. J. Decety, The neurophysiological basis of motor imagery, Behav Brain Res, 77, 45–52, (1996). 31. C. Neuper and G. Pfurtscheller, Motor imagery and ERD. In: G. Pfurtscheller and F. Lopes da Silva (Eds.), Event-related desynchronization. Handbook of electroenceph and clinical neurophysiology, vol. 6, Elsevier, pp. 303–325, (1999). 32. M. Roth, J. Decety, M. Raybaudi, et al., Possible involvement of primary motor cortex in mentally simulated movement: a functional magnetic resonance imaging study. Neuroreport, 7, 1280–1284, (1996). 33. C.A. Porro, M.P. Francescato, V. Cettolo, et al., Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study. Int J Neurosci Lett, 16, 7688–7698, (1996). 34. M. Lotze, P. Montoya, M. Erb, et al., Activation of cortical and cerebellar motor areas during executed and imagined hand movements: an fMRI study. J Cogn Neurosci, 11, 491–501, (1999). 35. E. Gerardin, A. Sirigu, S. Lehéricy, et al., Partially overlapping neural networks for real and imagined hand movements. Cerebral Cortex, 10, 1093–1104, (2000). 36. H.H. Ehrsson, S. Geyer, and E. Naito, Imagery of voluntary movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations. J Neurophysiol, 90, 3304–3316, (2003). 37. S. Rossi, P. Pasqualetti, F. Tecchio, et al., Corticospinal excitability modulation during mental simulation of wrist movements in human subjects. Neurosci Lett, 243, 147–151, (1998). 38. P. Suffczynski, P.J.M. Pijn, G. Pfurtscheller, et al., Event-related dynamics of alpha band rhythms: A neuronal network model of focal ERD/surround ERS, In: G. Pfurtscheller and F. Lopes da Silva (Eds.), Event-related desynchronization. Handbook of electroenceph and clinical neurophysiology, vol. 6, Elsevier, pp. 67–85, (1999). 39. G. Pfurtscheller, C. Brunner, A. Schlögl, et al., Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. NeuroImage, 31, 153–159, (2006). 40. M. Steriade and R. Llinas, The functional states of the thalamus and the associated neuronal interplay. Phys Rev, 68, 649–742, (1988). 41. P. Zhuang, C. Toro, J. Grafman, et al., Event–related desynchronization (ERD) in the alpha frequency during development of implicit and explicit learning. Electroencephalogr Clin Neurophysiol, 102, 374–381, (1997). 42. A.P. Leone, N. Dang, L.G. Cohen, et al., Modulation of muscle responses evoked by transcranial magnetic stimulation during the acquisition of new fine motor skills. J Neurophysiol, 74, 1037–1045, (1995). 43. R. Cooper, A.L. Winter, H.J. Crow, et al., Comparison of subcortical, cortical and scalp activity using chronically indwelling electrodes in man. Electroencephalogr Clin Neurophysiol, 18, 217–228, (1965). 44. F.L. da Silva, Neural mechanisms underlying brain waves: from neural membranes to networks. Electroencephalogr Clin Neurophysiol, 79, 81–93, (1991).
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THE FRONTIERS COLLECTION
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Bernhard Graimann · Brendan Alliso
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Preface It’s an exciting time to
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Contents Brain-Computer Interfaces:
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Contributors Brendan Allison Instit
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Contributors xi Femke Nijboer Insti
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List of Abbreviations ADHD Attentio
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Brain-Computer Interfaces: A Gentle
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110 E.W. Sellers et al. 22. D.J Kru
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Detecting Mental States by Machine
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138 Y. Wang et al. which has been e
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140 Y. Wang et al. After many studi
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142 Y. Wang et al. Left Hand Right
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144 Y. Wang et al. 0-degree 60-degr
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146 Y. Wang et al. 3.1.2 Stimulatio
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148 Y. Wang et al. Foot 1 0.5 Left
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150 Y. Wang et al. be summarized as
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152 Y. Wang et al. Fig. 10 A player
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154 Y. Wang et al. 22. Y. Wang, R.
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156 N. Birbaumer and P. Sauseng C A
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158 N. Birbaumer and P. Sauseng 3 B
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160 N. Birbaumer and P. Sauseng pat
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162 N. Birbaumer and P. Sauseng Fig
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164 N. Birbaumer and P. Sauseng of
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166 N. Birbaumer and P. Sauseng Neu
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168 N. Birbaumer and P. Sauseng 8.
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Non Invasive BCIs for Neuroprosthes
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Brain-Computer Interfaces for Commu
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204 D.M. Taylor and M.E. Stetner mo
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206 D.M. Taylor and M.E. Stetner el
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208 D.M. Taylor and M.E. Stetner ac
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210 D.M. Taylor and M.E. Stetner de
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212 D.M. Taylor and M.E. Stetner Ma
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214 D.M. Taylor and M.E. Stetner pe
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216 D.M. Taylor and M.E. Stetner ev
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218 D.M. Taylor and M.E. Stetner fo
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BCIs Based on Signals from Between
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242 K.J. Miller and J.G. Ojemann 2
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244 K.J. Miller and J.G. Ojemann ha
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246 K.J. Miller and J.G. Ojemann Fi
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248 K.J. Miller and J.G. Ojemann Fi
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250 K.J. Miller and J.G. Ojemann fo
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252 K.J. Miller and J.G. Ojemann me
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254 K.J. Miller and J.G. Ojemann In
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256 K.J. Miller and J.G. Ojemann ar
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258 K.J. Miller and J.G. Ojemann 26
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260 J. Mellinger and G. Schalk mapp
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262 J. Mellinger and G. Schalk 2 BC
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264 J. Mellinger and G. Schalk Fig.
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266 J. Mellinger and G. Schalk Filt
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268 J. Mellinger and G. Schalk proc
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270 J. Mellinger and G. Schalk exis
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272 J. Mellinger and G. Schalk reco
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274 J. Mellinger and G. Schalk Fig.
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276 J. Mellinger and G. Schalk numb
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278 J. Mellinger and G. Schalk 5. A
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The First Commercial Brain-Computer
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306 Y. Li et al. Fig. 1 Basic desig
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308 Y. Li et al. Fig. 2 A linear tr
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310 Y. Li et al. The large Laplacia
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312 Y. Li et al. components is larg
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314 Y. Li et al. P300-based, and ER
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316 Y. Li et al. 3.3.2 Autoregressi
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318 Y. Li et al. selection as follo
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320 Y. Li et al. 5.1.2 Support Vect
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322 Y. Li et al. is small and the n
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324 Y. Li et al. (ROC) analysis app
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326 Y. Li et al. Fig. 10 The stimul
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328 Y. Li et al. 6. M. Cheng, X. Ga
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330 Y. Li et al. 46. K. Crammer and
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332 A. Schlögl et al. Fig. 1 Schem
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334 A. Schlögl et al. For the rect
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336 A. Schlögl et al. whereby T in
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338 A. Schlögl et al. Fig. 2 State
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340 A. Schlögl et al. yk = a1 · y
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342 A. Schlögl et al. d{i}(x) = ((
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344 A. Schlögl et al. Accordingly,
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346 A. Schlögl et al. not exceed a
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348 A. Schlögl et al. Error [%] RL
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350 A. Schlögl et al. Table 3 Aver
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352 A. Schlögl et al. The extended
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354 A. Schlögl et al. 24. N.G. Pfu
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Toward Ubiquitous BCIs Brendan Z. A
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Toward Ubiquitous BCIs 359 BCI Chal
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Toward Ubiquitous BCIs 361 communic
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Toward Ubiquitous BCIs 363 facial m
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Toward Ubiquitous BCIs 365 The best
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Toward Ubiquitous BCIs 367 Across a
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Toward Ubiquitous BCIs 369 the ques
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Toward Ubiquitous BCIs 371 controll
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Toward Ubiquitous BCIs 373 controls
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Toward Ubiquitous BCIs 375 hair in
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Toward Ubiquitous BCIs 377 Table 1
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Toward Ubiquitous BCIs 379 conversa
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Toward Ubiquitous BCIs 381 may down
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Toward Ubiquitous BCIs 383 physicis
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Toward Ubiquitous BCIs 385 31. F.H.
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Toward Ubiquitous BCIs 387 67. G. S
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390 Index 65, 157, 163, 217, 221-23
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392 Index 208, 236, 243, 245, 260-2
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