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. On-line Detection of Perceptual Signatures in Multichannel ECoG. Conf Proc IEEE Eng Med Biol Soc [Internet]. 2005;4:3683-6. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1617281&abstractAccess=no&userType=inst
On-line detection of perceptual signatures in multichannel ECoG.pdf (407.37 KB)
On-line detection of perceptual signatures in multichannel ECoG.pdf (407.37 KB). Particle picking by segmentation: a comparative study with SPIDER-based manual particle picking. J Struct Biol [Internet]. 2005;152(3):211-20. http://www.ncbi.nlm.nih.gov/pubmed/16330229 Particle picking by segmentation a comparative study with SPIDER-based manual particle picking.pdf (727.35 KB)
Particle picking by segmentation a comparative study with SPIDER-based manual particle picking.pdf (727.35 KB). Pathways for the regulation of body iron homeostasis in response to experimental iron overload. J Hepatol [Internet]. 2005;43(4):711-9. http://www.sciencedirect.com/science/article/pii/S0168827805003168# Pathways for the regulation of body iron homeostasis in response to experimental iron overload.pdf (409.23 KB)
Pathways for the regulation of body iron homeostasis in response to experimental iron overload.pdf (409.23 KB). Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology [Internet]. 2005;64:1775–1777. http://www.ncbi.nlm.nih.gov/pubmed/15911809 Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.pdf (319.32 KB)
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.pdf (319.32 KB). Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology [Internet]. 2005;64(10):1775-7. http://www.ncbi.nlm.nih.gov/pubmed/15911809 Patients with ALS can use sensorimotor rhythms to operate a brain-comptuer interface.pdf (0 bytes)
Patients with ALS can use sensorimotor rhythms to operate a brain-comptuer interface.pdf (0 bytes). Recording Options for Brain-Computer Interfaces. In Proceedings to the 1st Conference on Augmented Cognition. 2005.
. Recording Options for Brain-Computer Interfaces. Proceedings to the 1st Conference on Augmented Cognition. 2005.
. Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces. . EURASIP Journal on Advances in Signal Processing [Internet]. 2005;2005:3103–3112. http://www.researchgate.net/publication/26532072_Robust_EEG_Channel_Selection_across_Subjects_for_Brain-Computer_Interfaces Robust EEG channel selection across subjects for brain-computer interfaces.pdf (1.81 MB)
Robust EEG channel selection across subjects for brain-computer interfaces.pdf (1.81 MB). Sensorimotor rhythm-based brain-computer interface (BCI): feature selection by regression improves performance. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [Internet]. 2005;13:372–379. http://www.ncbi.nlm.nih.gov/pubmed/16200760 mcfarland2005.pdf (443.09 KB)
mcfarland2005.pdf (443.09 KB). Towards 2D Brain Control Using ECoG. 2005.
. Towards two-dimensional cursor control using electrocorticographic signals. Proceedings to the 11th International Conference on Human-Computer Interaction. 2005.
. Towards two-dimensional cursor control using electrocorticographic signals. In Proceedings to the 11th International Conference on Human-Computer Interaction. 2005.
. Tracking of the mu rhythm using an empirically derived matched filter. In Proc. IEEE International Conference of Neural Engineering [Internet]. Arlington, VA: IEEE; 2005. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1419559 Tracking of the mu rhythm using an empirically derived matched filter.pdf (1.63 MB)
Tracking of the mu rhythm using an empirically derived matched filter.pdf (1.63 MB). Tracking of the mu rhythm using an empirically derived matched filter. Proc. IEEE International Conference of Neural Engineering. 2005.
. An Auditory Paradigm for Brain–Computer Interfaces. [Internet]. 2004;. http://papers.nips.cc/paper/2551-an-auditory-paradigm-for-brain-computer-interfaces An auditory paradigm for brain-computer interfaces.pdf (129.11 KB)
An auditory paradigm for brain-computer interfaces.pdf (129.11 KB). The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials. IEEE transactions on bio-medical engineering [Internet]. 2004;51:1044–1051. http://www.ncbi.nlm.nih.gov/pubmed/15188876 The BCI competition 2003 progress and perspectives in detection and discrimination of EEG single trials.pdf (126.79 KB)
The BCI competition 2003 progress and perspectives in detection and discrimination of EEG single trials.pdf (126.79 KB). The BCI Competition 2003: Progress and perspectives in detection and discrimination of EEG single trials. IEEE Trans Biomed Eng. 2004;51(6):1044-51. The BCI Compeition 2003 - Progress and Perspectives in Detection and Discrimination of EEG Single Trials.pdf (0 bytes)
The BCI Compeition 2003 - Progress and Perspectives in Detection and Discrimination of EEG Single Trials.pdf (0 bytes). BCI2000: a general-purpose brain-computer interface (BCI) system. IEEE Trans Biomed Eng. 2004;51(6):1034-43. BCI2000 - A General-Purpose Brain-Computer Interface (BCI) System.pdf (0 bytes)
BCI2000 - A General-Purpose Brain-Computer Interface (BCI) System.pdf (0 bytes). BCI2000: a general-purpose brain-computer interface (BCI) system. IEEE transactions on bio-medical engineering [Internet]. 2004;51:1034–1043. http://www.ncbi.nlm.nih.gov/pubmed/15188875 schalk2004.pdf (406.04 KB)
schalk2004.pdf (406.04 KB). A binary segmentation approach for boxing ribosome particles in cryo EM micrographs. J Struct Biol [Internet]. 2004;145(1-2):142-51. http://www.ncbi.nlm.nih.gov/pubmed/15065681 adiga2004.pdf (577.76 KB)
adiga2004.pdf (577.76 KB). A brain-computer interface using electrocorticographic signals in humans. J Neural Eng [Internet]. 2004;1(2):63-71. http://www.ncbi.nlm.nih.gov/pubmed/15876624 A brain-computer interface using electrocorticographic signals in humans.pdf (0 bytes)
A brain-computer interface using electrocorticographic signals in humans.pdf (0 bytes). Brain-computer interfaces (BCIs) for communication and control: a mini-review. Supplements to Clinical neurophysiology [Internet]. 2004;57:607–613. http://www.ncbi.nlm.nih.gov/pubmed/16106662 Brain-computer interfaces (BCIs) for communication and control a mini-review.pdf (204.29 KB)
Brain-computer interfaces (BCIs) for communication and control a mini-review.pdf (204.29 KB)