Skip to main content

Applications of Paraconsistent Artificial Neural Networks in EEG

  • Conference paper
  • 1618 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6922))

Abstract

In this work we summarize all our studies on Paraconsistent Artificial Neural Networks applied to electroencephalography.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abe, J.M.: Foundations of Annotated Logics, PhD thesis, USP, Brazil (1992) (in Portuguese)

    Google Scholar 

  2. Abe, J.M.: Some Aspects of Paraconsistent Systems and Applications. Logique et Analyse 157, 83–96 (1997)

    MATH  Google Scholar 

  3. Abe, J.M., Lopes, H.F.S., Anghinah, R.: Paraconsistent Artificial Neural Network and Alzheimer Disease: A Preliminary Study. Dement. Neuropsychol. 3, 241–247 (2007)

    Google Scholar 

  4. Anghinah, R.: Estudo da densidade espectral e da coerência do eletrencefalograma em indivíduos adultos normais e com doença de Alzheimer provável, PhD thesis, FMUSP, São Paulo (2003) (in Portuguese)

    Google Scholar 

  5. Ansari, D., Karmiloff-Smith, A.: Atypical trajectories of number development: a neuroconstructivist perspective. Trends In Cognitive Sciences 12, 511–516 (2002)

    Article  Google Scholar 

  6. Blonds, T.A., Attention-Deficit Disorders and Hyperactivity. In Developmental Disabilities in Infancy and Ramus, F., Developmental dyslexia: specific phonological deficit or general sensorimotor dysfunction? Current Opinion in Neurobiology 13, 1-7 (2003)

    Google Scholar 

  7. Da Silva Filho, J.I., Abe, J.M.,Torres, G.L.: Inteligência Artificial com as Redes de Análises Paraconsistentes LTC-Livros Técnicos e Científicos Editora S.A., São Paulo, 313 pág (2008) (in Portuguese)

    Google Scholar 

  8. Hynd, G.W., Hooper, R., Takahashi, T.: Dyslexia and Language-Based disabilities. In: Brumbak, C. (ed.) Text Book of Pediatric Neuropsychiatry, pp. 691–718. American Psychiatric Press, Washington (1985)

    Google Scholar 

  9. Lindsay, R.L.: Dyscalculia. In: Capute, Accardo (eds.) Developmental Disabilities in Infancy and Childhood, pp. 405–415. Paul Brookes Publishing Co., Baltimore (1996)

    Google Scholar 

  10. Lopes, H.F.S.: Aplicação de redes neurais artificiais paraconsistentes como método de auxílio no diagnóstico da doença de Alzheimer, MSc Dissertation, Faculdade de Medicina-USP, São Paulo, p. 473 (2009) (in Portuguese)

    Google Scholar 

  11. Klimeshc, W.: EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res. Ver. 29, 169–195 (1999)

    Article  Google Scholar 

  12. Klimesch, W., Doppelmayr, H., Wimmer, J., Schwaiger, D., Rôhm, D., Bruber, W., Hutzler, F.: Theta band power changes in normal and dyslexic children. Clin. Neurophysiol. 113, 1174–1185 (2001)

    Article  Google Scholar 

  13. Kocyigit, Y., Alkan, A., Erol, H.: Classification of EEG Recordings by Using Fast Independent Component Analysis and Artificial Neural Network. J. Med. Syst. 32(1), 17–20 (2008)

    Google Scholar 

  14. Niedermeyer, E., da Silva, F.L.: Electroencephalography, 5th edn. Lippincott Williams & Wilkins (2005)

    Google Scholar 

  15. Claus, J.J., Strijers, R.L.M., Jonkman, E.J., Ongerboer De Visser, B.W., Jonker, C., Walstra, G.J.M., Scheltens, P., Gool, W.A.: The diagnostic value of EEG in mild senile Alzheimer’s disease. Clin. Neurophysiol. 18, 15–23 (1999)

    Google Scholar 

  16. Crevel, H., Gool, W.A., Walstra, G.J.M.: Early diagnosis of dementia: Which tests are indicated? What are their Costs: J. Neurol. 246, 73–78 (1999)

    Google Scholar 

  17. Temple, E.: Brain mechanisms in normal and dyslexic readers. Current Opinion in Neurobiology 12, 178–183 (2002)

    Article  Google Scholar 

  18. Voeller, K.K.S.: Attention-Deficit / Hyperactivity: Neurobiological and clinical aspects of attention and disorders of attention. In: Coffey, Brumbak (eds.) Text Book of Pediatric Neuropsychiatry, pp. 691–718. American Psychiatric Press, Washington (1998)

    Google Scholar 

  19. Kwak, Y.T.: Quantitative EEG findings in different stages of Alzheimer’s disease. J. Clin. Neurophysiol. 23(5), 456–461 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Abe, J.M., Lopes, H.F.S., Nakamatsu, K., Akama, S. (2011). Applications of Paraconsistent Artificial Neural Networks in EEG. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23935-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23934-2

  • Online ISBN: 978-3-642-23935-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics