Readings – Brain-Computer Interfaces

Readings – Brain-Computer Interfaces

Readings in Brain-Computer Interface (BCI) Systems – Neural Information Systems (NIS)

 

My best BCI readings are in my recent article:

  • Maren, A.J. (2016) The Cluster Variation Method: A Primer for Neuroscientists. Brain Sciences, 6(4), 44. doi:10.3390/brainsci6040044 pdf (AJM’s note: Over 100 references, to brain topography, statistical mechanics of brain processes, and a lot of other goodies. My best collection yet!)

 

Collected Readings – Through about 2014

 

  • Dornhege, G (2006). Increasing Information Transfer Rates for Brain-Computer Interfacing (Dissertation; Universität Potsdam).
    pdf
  • Hatsopoulos NG, Donoghue JP: The science of neural interface systems. Annu. Rev. Neurosci 2009, 32:249–66. pdf
  • Pires, G., Castelo-Branco, M., and Nunes, U. (2008). Visual P300-based BCI to steer a wheelchair: a Bayesian approach. Conf Proc IEEE Eng Med Biol Soc. 2008:658-61. doi: 10.1109/IEMBS.2008.4649238.pdf
  • Suminski, A.J., Tkach, D.C., & Hatsopoulos, N.G. (2009). Exploiting multiple sensory modalities in brain-machine interfaces. Neural Networks 22, 1224- 1234. pdf
  • Wahnoun, R., He, J., & Helms Tillery, S.I. (2006). Selection and parameterization of cortical neurons for neuroprosthetic control. J. Neural Eng. 3, 162–171. pdf
  • Engelhard B, Ozeri N, Israel Z, Bergman H, Vaadia E. (2013). Inducing gamma oscillations and precise spike synchrony by operant conditioning via brain-machine interface. Neuron 77 (2), 361-375. site pdf
  • Shenoy, P., Krauledat, M., Benjamin Blankertz, B., Rao, R.P.N, & Müller, K.-R. (2006). Towards adaptive classification for BCI. J. Neural Eng. 3 (2), R13–R23. doi:10.1088/1741-2560/3/1/R02 pdf
  • Gupta, A., Parameswaran, S., & Lee, C.-H. (2009). Classification of electroencephalography signals (EEG) for different mental activities using Kullback Leibler (KL) divergence. ICASSP, 2009, Acoustics, Speech, and Signal Processing, IEEE International Conference on, Acoustics, Speech, and Signal Processing, IEEE International Conference on 2009, 1697-1700. doi:10.1109/ICASSP.2009.4959929 site
  • Broccard, F., Mullen, T., Chi, Y.M., Peterson, D., Iversen, J.R., Arnold, M., Kreutz-Delgado, K., Jung, T-P., Makeig, S., Poizner, H., Sejnowski, T., & Cauwenberghs, G. (2014). Closed-loop brain–machine–body interfaces for noninvasive rehabilitation of movement disorders. Annals of Biomedical Engineering, 42 (8), August 2014, 1573–1593. DOI: 10.1007/s10439-014-1032-6 pdf
  • Hatsopoulos, N. G., & Donoghue, J. P. (2009). The science of neural interface systems. Annual Review of Neuroscience, 32 (1), 259-266. pdf. (Note: Excellent reference set up through publication point of 2009.)

General Scientific Reading in Brain-Computer Interfaces; News Flashes

  • Graimann, B., Allison, B., & Pfurtscheller, G. (2010). Brain–Computer Interfaces: A Gentle Introduction, in B. Graimann et al. (eds.), Brain–Computer Interfaces, The Frontiers Collection, ( Berlin, Heidelberg: Springer-Verlag). (DOI 10.1007/978-3-642-02091-9_1) online – first two pages. To download full chapter pdf, Google on chapter title.

    Author contact:

    B. Graimann (B)
    Strategic Technology Management, Otto Bock HealthCare GmbH, Max-Näder Straße 15, 37115
    Duderstadt, Germany
    e-mail: graimann@ottobock.de

  • Strickland, E. (2014). We Will End Disability by Becoming Cyborgs: Neural interfaces and prosthetics will do away with biology’s failings. IEEE Spectrum (Posted 27 May 2014 | 15:03 GMT). online
  • Anthony, S. (2013). Brown University creates first wireless, implanted brain-computer interface. ExtremeTech (Posted March 4, 2013 at 8:03 am). online
  • Thibeault, C.M. (2014). A role for neuromorphic processors in therapeutic nervous system stimulation. Front. Syst. Neurosci (07 October 2014 | doi: 10.3389/fnsys.2014.00187). online
  • Suk, H.-I., and Lee, S.-W. (2013). A novel Bayesian framework for discriminative feature extraction in brain-computer interfaces. IEEE Trans. PAMI, 35 (2) (Feb. 2013), 286-298. DOI 10.1109/TPAMI.2012.69. (Obtain pdf from googling on title & author, download from ResearchGate.) (Note: Uses Bayesian methods and mutual information.)
  • Bashashati, A., Fatourechi1, M., Ward, R.K., & Birch, G.E. (2007). A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals. J. Neural Eng. 4, R32–R57. doi:10.1088/1741-2560/4/2/R03 pdf
  • Bashashati, A., Fatourechi1, M., Ward, R.K., & Birch, G.E. (2007). A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals. J. Neural Eng. 4, R32–R57. doi:10.1088/1741-2560/4/2/R03 pdf
  • Committee on Assessing Foreign Technology Development in Human Performance Modification; Board on Behavioral, Cognitive, and Sensory Sciences; Division on Engineering and Physical Sciences; Division of Behavioral and Social Sciences and Education; National Research Council (2012) Human Performance Modification: Review of Worldwide Research with a View to the Future (The National Academies Press). source

 

Special Issues: Brain-Computer Interfaces