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Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 363565, 13 pages
Craniux: A LabVIEW-Based Modular Software Framework for Brain-Machine Interface Research
1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15219, USA
2Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
3Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA 15213, USA
4Department of Veterans Affairs, Human Engineering Research Laboratories, Pittsburgh, PA 15206, USA
5Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
Received 1 October 2010; Revised 7 December 2010; Accepted 24 January 2011
Academic Editor: Sylvain Baillet
Copyright © 2011 Alan D. Degenhart et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- A. B. Schwartz, X. T. Cui, D. Weber, and D. W. Moran, “Brain-controlled interfaces: movement restoration with neural prosthetics,” Neuron, vol. 52, no. 1, pp. 205–220, 2006.
- W. Wang, J. L. Collinger, M. A. Perez et al., “Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity,” Physical Medicine and Rehabilitation Clinics of North America, vol. 21, no. 1, pp. 157–178, 2010.
- D. J. McFarland, W. A. Sarnacki, and J. R. Wolpaw, “Electroencephalographic (EEG) control of three-dimensional movement,” Journal of Neural Engineering, vol. 7, no. 3, Article ID 036007, 2010.
- J. Mellinger, G. Schalk, C. Braun et al., “An MEG-based brain-computer interface (BCI),” NeuroImage, vol. 36, no. 3, pp. 581–593, 2007.
- G. Schalk, K. J. Miller, N. R. Anderson et al., “Two-dimensional movement control using electrocorticographic signals in humans,” Journal of Neural Engineering, vol. 5, no. 1, pp. 75–84, 2008.
- D. A. Heldman, W. Wang, S. S. Chan, and D. W. Moran, “Local field potential spectral tuning in motor cortex during reaching,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 180–183, 2006.
- L. R. Hochberg, M. D. Serruya, G. M. Friehs et al., “Neuronal ensemble control of prosthetic devices by a human with tetraplegia,” Nature, vol. 442, no. 7099, pp. 164–171, 2006.
- M. Velliste, S. Perel, M. C. Spalding, A. S. Whitford, and A. B. Schwartz, “Cortical control of a prosthetic arm for self-feeding,” Nature, vol. 453, no. 7198, pp. 1098–1101, 2008.
- K. Ganguly and J. M. Carmena, “Emergence of a stable cortical map for neuroprosthetic control,” PLoS Biology, vol. 7, no. 7, Article ID e1000153, 2009.
- S. Koyama, S. M. Chase, A. S. Whitford, M. Velliste, A. B. Schwartz, and R. E. Kass, “Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control,” Journal of Computational Neuroscience, vol. 29, pp. 73–87, 2010.
- S. Adee, “Dean Kamen's `luke arm' prosthesis readies for clinical trials,” IEEE Spectrum, February 2008, http://spectrum.ieee.org/biomedical/bionics/dean-kamens-luke-arm-prosthesis-readies-for-clinical-trials.
- S. Adee, “Winner: the revolution will be prosthetized,” IEEE Spectrum, January 2009, http://spectrum.ieee.org/robotics/medical-robots/winner-the-revolution-will-be-prosthetized.
- G. Schalk, D. J. McFarland, T. Hinterberger, N. Birbaumer, and J. R. Wolpaw, “BCI2000: a general-purpose brain-computer interface (BCI) system,” IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1034–1043, 2004.
- G. Schalk, “BCI2000 provided the basis for experiments in the following peer-reviewed journal papers,” BCI2000 Website.
- “Bcpy2000,” August 2010, http://bci2000.org/downloads/BCPy2000/BCPy2000.html.
- J. A. Wilson, J. Mellinger, G. Schalk, and J. Williams, “A procedure for measuring latencies in brain computer interfaces,” IEEE Transactions on Biomedical Engineering, vol. 57, no. 7, pp. 1785–1797, 2010.
- “The NI TDMS file format,” National Instruments, August 2010, http://zone.ni.com/devzone/cda/tut/p/id/3727.
- A. P. Georgopoulos, A. B. Schwartz, and R. E. Kettner, “Neuronal population coding on movement direction,” Science, vol. 233, no. 4771, pp. 1416–1419, 1986.
- E. Salinas and L. F. Abbott, “Vector reconstruction from firing rates,” Journal of Computational Neuroscience, vol. 1, no. 1-2, pp. 89–107, 1994.
- A. B. Schwartz, D. W. Moran, and G. A. Reina, “Differential representation of perception and action in the frontal cortex,” Science, vol. 303, no. 5656, pp. 380–383, 2004.
- J. Nagle, “Congestion control in IP/TCP internetworks,” January 1984, http://tools.ietf.org/html/rfc896.
- E. C. Leuthardt, G. Schalk, J. R. Wolpaw, J. G. Ojemann, and D. W. Moran, “A brain-computer interface using electrocorticographic signals in humans,” Journal of Neural Engineering, vol. 1, no. 2, pp. 63–71, 2004.
- M. S. Keshner, “1/f NOISE,” Proceedings of the IEEE, vol. 70, no. 3, pp. 212–218, 1982.
- C. Tallon-Baudry, O. Bertrand, M. A. Hénaff, J. Isnard, and C. Fischer, “Attention modulates gamma-band oscillations differently in the human lateral occipital cortex and fusiform gyrus,” Cerebral Cortex, vol. 15, no. 5, pp. 654–662, 2005.
- E. Edwards, S. S. Nagarajan, S. S. Dalal et al., “Spatiotemporal imaging of cortical activation during verb generation and picture naming,” NeuroImage, vol. 50, no. 1, pp. 291–301, 2010.
- A. B. Schwartz, R. E. Kettner, and A. P. Georgopoulos, “Primate motor cortex and free arm movements to visual targets in three-dimensional space. I. Relations between single cell discharge and direction of movement,” Journal of Neuroscience, vol. 8, no. 8, pp. 2913–2927, 1988.
- W. Wang, S. S. Chan, D. A. Heldman, and D. W. Moran, “Motor cortical representation of position and velocity during reaching,” Journal of Neurophysiology, vol. 97, no. 6, pp. 4258–4270, 2007.
- D. M. Taylor, S. I. H. Tillery, and A. B. Schwartz, “Direct cortical control of 3D neuroprosthetic devices,” Science, vol. 296, no. 5574, pp. 1829–1832, 2002.
- W. Wang, A. D. Degenhart, J. L. Collinger et al., “Human motor cortical activity recorded with micro-ECoG electrodes during individual finger movements,” in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine (EMBC '09), pp. 586–589, September 2009.
- D. Bacher, J. McFerron, N. Krishnamurthy, and A. Batista, “An experimental rig for closed-loop neuroprosthetics,” in Poster Presented as Part of the Society for Neuroscience Conference, pp. 1–5, Washington, DC, USA, September 2008.
- Y. Renard, F. Lotte, G. Gibert et al., “OpenViBE: an open-source software platform to design, test, and use brain-computer interfaces in real and virtual environments,” Presence: Teleoperators and Virtual Environments, vol. 19, no. 1, pp. 35–53, 2010.
- G. Sudre, W. Wang, T. Song et al., “rtMEG: a real-time software toolbox for brain-machine interfaces using magnetoencephelography,” in Proceedings of the 17th International Conference on Biomagnetism Advances in Biomagnetism (Biomag '10), vol. 28, pp. 362–365, March 2010.
- “The FieldTrip buffer for real-time access to EEG/MEG data,” October 2010, http://fieldtrip.fcdonders.nl/development/realtime/buffer.
- G. Schalk, E. C. Leuthardt, P. Brunner, J. G. Ojemann, L. A. Gerhardt, and J. R. Wolpaw, “Real-time detection of event-related brain activity,” NeuroImage, vol. 43, no. 2, pp. 245–249, 2008.
- G. Schalk, P. Brunner, L. A. Gerhardt, H. Bischof, and J. R. Wolpaw, “Brain-computer interfaces (BCIs): detection instead of classification,” Journal of Neuroscience Methods, vol. 167, no. 1, pp. 51–62, 2008.
- A. Delorme and S. Makeig, “EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis,” Journal of Neuroscience Methods, vol. 134, no. 1, pp. 9–21, 2004.