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NeuroMath: advanced methods for the estimation of human brain activity and connectivity

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Published/Copyright: June 7, 2010
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 55 Issue 3

Published Online: 2010-06-07
Published in Print: 2010-06-01

©2010 by Walter de Gruyter Berlin New York

Articles in the same Issue

  1. Guest editorial
  2. NeuroMath: advanced methods for the estimation of human brain activity and connectivity
  3. Research articles
  4. The significance of relative conductivity on thin layers in EEG sensitivity distributions
  5. Comparison between realistic and spherical approaches in EEG forward modelling
  6. On the analysis of BIS stage epochs via fuzzy clustering
  7. Spectral features of EEG in depression
  8. On the role of cost-sensitive learning in multi-class brain-computer interfaces
  9. Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application
  10. Control and data acquisition software for high-density CMOS-based microprobe arrays implementing electronic depth control
https://doi.org/10.1515/bmt.2010.016

Articles in the same Issue

  1. Guest editorial
  2. NeuroMath: advanced methods for the estimation of human brain activity and connectivity
  3. Research articles
  4. The significance of relative conductivity on thin layers in EEG sensitivity distributions
  5. Comparison between realistic and spherical approaches in EEG forward modelling
  6. On the analysis of BIS stage epochs via fuzzy clustering
  7. Spectral features of EEG in depression
  8. On the role of cost-sensitive learning in multi-class brain-computer interfaces
  9. Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application
  10. Control and data acquisition software for high-density CMOS-based microprobe arrays implementing electronic depth control
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