Probabilistic co-adaptive brain-computer interfacing

Journal of Neural Engineering

Volumn 10, Issue 6, 2013, Pages

  Bryan, Matthew J ^a   Martin, Stefan A ^b   Cheung, Willy ^c   Rao, Rajesh P N ^a,b  

^a University of Washington   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; BRAIN COMPUTER INTERFACES (BCIS); BRAIN-COMPUTER INTERFACING; CONTROL STRATEGIES; ENVIRONMENT STATE; PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; REGRESSION TECHNIQUES; REWARD FUNCTION;

BAYESIAN NETWORKS; INFERENCE ENGINES; INTERFACES (COMPUTER); PROBABILITY DISTRIBUTIONS; REINFORCEMENT LEARNING;

BRAIN COMPUTER INTERFACE;

ACCURACY; ADAPTATION; ARTICLE; BAYES THEOREM; BRAIN COMPUTER INTERFACE; CONTROL STRATEGY; DECISION MAKING; LEARNING; PRIORITY JOURNAL; PROBABILITY; REINFORCEMENT; REWARD; SIGNAL NOISE RATIO; UNCERTAINTY; VELOCITY;

ADAPTATION, PHYSIOLOGICAL; ADULT; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MARKOV CHAINS; PHOTIC STIMULATION; PROBABILITY; REACTION TIME; YOUNG ADULT;

EID: 84889076668     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/10/6/066008     Document Type: Article

References (34)

1. Rao R P N 2013 Brain-Computer Interfacing: An Introduction (Cambridge: Cambridge University Press)
2. Wolpaw J R, Birbaumerc N, McFarland D J, Pfurtscheller G and Vaughan T M 2002 Brain-computer interfaces for communication and control Clin. Neurophysiol. 113 767-91 (Pubitemid 34621187)
3. Dornhege G, Millán J R, Hinterberger T, McFarland D J and Müller K-R 2007 Towards Brain-Computer Interfacing (Cambridge, MA: MIT Press)
4. Wessberg J, Stambaugh C R, Kralik J D, Beck P D, Laubach M, Chapin J K, Kim J, Biggs S J, Srinivasan M A and Nicolelis M A 2000 Real-time prediction of hand trajectory by ensembles of cortical neurons in primates Nature 408 361-5
5. Velliste M, Perel S, Spalding M C, Whitford A S and Schwartz A B 2008 Cortical control of a prosthetic arm for self-feeding Nature 453 1098-101 (Pubitemid 351871735)
6. Serruya M D, Hatsopoulos N G, Paninski L, Fellows M R and Donoghue J P 2002 Brain-machine interface - instant neural control of a movement signal Nature 416 141-2 (Pubitemid 34246464)
7. Farwell L A and Donchin E 1988 Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials Electroencephalogr. Clin. Neurophysiol. 70 510-23
8. Bensch M, Karim A A, Mellinger J, Hinterberger T, Tangermann M, Bogdan M, Rosenstiel W and Birbaumer N 2007 Nessi: an EEG-controlled web browser for severely paralyzed patients Comput. Intell. Neurosci. 2007 71863
9. Bell C J, Shenoy P, Chalodhorn R and Rao R P N 2008 Control of a humanoid robot by a noninvasive brain-computer interface in humans J. Neural Eng. 5 214 (Pubitemid 351999188)
10. Galán F, Nuttin M, Lew E, Ferrez P, Vanacker G, Philips J and Millán J del R 2008 A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots Clin. Neurophysiol. 119 2159-69
11. Millan J R, Renkens F, Mouriño J and Gerstner W 2004 Noninvasive brain-actuated control of a mobile robot by human EEG IEEE Trans. Biomed. Eng. 51 1026-33 (Pubitemid 38661458)
12. Rao R P N and Scherer R 2010 Statistical pattern recognition and machine learning in brain-computer interfaces Statistical Signal Processing for Neuroscience and Neurotechnology (Amsterdam: Elsevier) pp 335-68
13. Gürel T and Mehring C 2012 Unsupervised adaptation of brain machine interface decoders arXiv:1206.3666
14. Vidaurre C, Sannelli C, Müller K R and Blankertz B 2011 Co-adaptive calibration to improve BCI efficiency J. Neural Eng. 8 025009
15. DiGiovanna J, Mahmoudi B, Fortes J, Principe J C and Sanchez J C 2009 Coadaptive brain-machine interface via reinforcement learning IEEE Trans. Biomed. Eng. 56 54-64
16. Buttfield A, Ferrez P W and Millan J 2006 Towards a robust BCI: error potentials and online learning IEEE Trans. Neural Syst. Rehabil. Eng. 14 164-8 (Pubitemid 44150232)
17. Kaelbling L P, Littman M L and Cassandra A R 1998 Planning and acting in partially observable stochastic domains Artif. Intell. 101 99-134 (Pubitemid 128387390)
18. Park J, Kim K E and Song Y K 2011 A POMDP-based optimal control of P300-based brain-computer interfaces AAAI'11: Proc. Association for the Advancement of Artificial Intelligence Conf. (AAAI) pp 1559-62
19. Sutton R S and Barto A G 1998 Reinforcement Learning: An Introduction (Cambridge, MA: MIT Press)
20. Müller-Putz G R and Pfurtscheller G 2007 Control of an electrical prosthesis with an SSVEP-based BCI IEEE Trans. Biomed. Eng. 55 361-4
21. Middendorf M, McMillan G, Calhoun G and Jones K S 2000 Brain-computer interfaces based on the steady-state visual-evoked response IEEE Trans. Rehabil. Eng. 8 211-4 (Pubitemid 30437017)
22. Cheng M, Gao X, Gao S and Xu D 2002 Design and implementation of a brain-computer interface with high transfer rates IEEE Trans. Biomed. Eng. 49 1181-6
23. Brunskill E, Kaelbling L, Lozano-perez T and Roy N 2008 Continuous-state POMDPs with hybrid dynamics Symp. on Artificial Intelligence and Mathematics pp 13-18
24. Hoey J and Poupart P 2005 Solving POMDPs with continuous or large discrete observation spaces Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI) pp 1332-8
25. Kurniawati H, Hsu D and Lee W S 2008 SARSOP: efficient point-based POMDP planning by approximating optimally reachable belief spaces Proc. Robotics: Science and Systems IV (Zurich, Switzerland,) www.roboticsproceedings.org/rss04/ p9.html
26. Smith T and Simmons R 2005 Point-based POMDP algorithms: improved analysis and implementation Proc. Conf. on Uncertainty in Artificial Intelligence pp 542-7
27. Spaan M T J and Vlassis N 2005 Perseus: randomized point-based value iteration for POMDPs J. Artif. Intell. Res. 24 195-220 (Pubitemid 43130936)
28. Hsu D et al 2012 Motion modelling, analysis, and planning project http://bigbird.comp.nus.edu.sg/pmwiki/farm/motion/index.php?n=Site.PomdpPlanning
29. Chung M, Bryan M, Cheung W, Scherer R and Rao R P N 2011 Interactive hierarchical brain-computer interfacing: uncertainty-based interaction between humans and robots BCI'11: 5th Int. Brain-Computer Interface Conf. (Graz, Austria,) pp 20-3
30. Abou-Moustafa K T, Torre F and Ferrie F P 2010 Designing a metric for the difference between Gaussian densities Brain, Body and Machine Advances in Intelligent and Soft Computing vol 83 ed J Angeles, B Boulet, J J Clark, J Kövecses and K Siddiqi (Berlin: Springer) pp 57-70
31. Bryan M, Nicoll G, Thomas V, Chung M, Smith J R and Rao R P N 2012 Automatic extraction of command hierarchies for adaptive brain-robot interfacing ICRA'12: IEEE Int. Conf. on Robotics and Automation (ICRA) pp 3691-7
32. Bryan M J, Green J, Chung M, Chang L, Scherer R, Smith J and Rao R P N 2011 An adaptive brain-computer interface for humanoid robot control 11th IEEE-RAS Int. Conf. on Humanoids Robots (Piscataway, NJ: IEEE) pp 199-204
33. Fabiani G E, McFarland D J, Wolpaw J R and Pfurtscheller G 2004 Conversion of EEG activity into cursor movement by a brain-computer interface (BCI) IEEE Trans. Neural Syst. Rehabil. Eng. 12 331-8 (Pubitemid 39223614)
34. Pfurtscheller G, Neuper C, Flotzinger D and Pregenzer M 1997 EEG-based discrimination between imagination of right and left hand movement Electroencephalogr. Clin. Neurophysiol. 103 642-51 (Pubitemid 28059088)