Skip to main content

Towards a Control Theory of Attention

  • Conference paper
Book cover Artificial Neural Networks – ICANN 2006 (ICANN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4132))

Included in the following conference series:

  • 1241 Accesses

Abstract

An engineering control approach to attention is developed here, based on the original CODAM (COrollary Discharge of Attention Movement) model. Support for the existence in the brain of the various modules thereby introduced is presented, especially those components involving an observer. The manner in which the model can be extended to executive functions involving the prefrontal cortices is then outlined, Finally the manner in which conscious experience may be supported by the architecture is described.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Taylor, J.G.: Attentional Movement: the control basis for Consciousness. Soc. Neurosci. Abstr. 26, 2231, 839.3 (2000)

    Google Scholar 

  2. Taylor, J.G.: Paying Attention to Consciousness. Progress in Neurobiology 71, 305–335 (2003)

    Article  Google Scholar 

  3. Fragopanagos, N., Kockelkoren, S., Taylor, J.G.: Modelling the Attentional Blink Cogn Brain Research (2005) (in press)

    Google Scholar 

  4. Taylor, J.G.: Race for Consciousness. MIT Press, Cambridge (1999)

    Google Scholar 

  5. Sergent, C., Baillet, S., Dehaene, S.: Timing of the brain events underlying access to consciousness during the attentional blink. Nat Neurosci. (September 2005)

    Google Scholar 

  6. Phillips, C.L., Harbour, R.D.: Feedback Control Systems. Prentice Hall, New Jersey (2000)

    MATH  Google Scholar 

  7. Desimone, Duncan: Neural mechanisms of selective visual attention. Ann. Rev. Neurosci. 18, 193–222 (1995)

    Article  Google Scholar 

  8. Taylor, J.G.: From Matter to Consciousness: Towards a Final Solution? Physics of Life Reviews 2, 1–44 (2005)

    Article  Google Scholar 

  9. Taylor, J.G., Fragopanagos, N.: The interaction of attention and emotion. Neural Networks 18(4) (2005) (in press)

    Google Scholar 

  10. Barto, A.: Adaptive Critics and the basal ganglia. In: Houk, J.C., Davis, J., Beiser, D.C. (eds.) Models of Information Processing n the Basal Ganglia. MIT Press, Cambridge (1995)

    Google Scholar 

  11. Houde, O., Tzourio-Mazayer, N.: Neural foundations of logical and mathematical cognition. Nat. Rev. Neuroscience 4, 507–514 (2003)

    Article  Google Scholar 

  12. Kasderidis, S., Taylor, J. G.: Attentional Agents and Robot Control. International Journal of Knowledge-based & Intelligent Systems 8, 69–89 (2004)

    Google Scholar 

  13. Kasderidis, S., Taylor, J.G.: Combining Attention and Value Maps. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005. LNCS, vol. 3696, pp. 79–84. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  14. Taylor, N., Taylor, J.G.: Analysis of Recurrent Cortico-Basal-Ganglia-Thalamic Loops for Working Memory. Biological Cybernetics 82, 415–432 (2000)

    Article  MATH  Google Scholar 

  15. Monchi, O., Taylor, J.G., Dagher, A.: A neural model of working memory processes in normal subjects, Parkinson’s disease and schizophrenia for fMRI design and predictions. Neural Networks 13(8-9), 963–973 (2000)

    Article  Google Scholar 

  16. Monchi, O., Petrides, M., Doyon, J., Postuma, R.B., Worsley, K., Dagher, A.: Neural Bases of Set Shifting Deficits in Parkinson’s Disease. Journal of Neuroscience 24, 702–710 (2004)

    Article  Google Scholar 

  17. Baddeley, A.: Working Memory. Oxford University Press, Oxford (1986)

    Google Scholar 

  18. Lepstein, J., Griffin, I.C., Devlin, J.T., Nobre, A.C.: Directing spatial attention in mental representations: Interactions between attention orienting and working-memory load. NeuroImage 26, 733–743 (2005)

    Article  Google Scholar 

  19. Yoon, J.H., Curtis, C.E., D’Esposito, M.D.: Differential effects if distraction during working memory on delay-period activity in the prefrontal cortex and the visual association cortex. NeuroImage 29, 1117–1126 (2006)

    Article  Google Scholar 

  20. Xu, Y., Chun, M.M.: Dissociable neural mechanisms supporting visual shot-term memory for objects. Nature 440, 91–95 (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

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Taylor, J.G. (2006). Towards a Control Theory of Attention. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_48

Download citation

  • DOI: https://doi.org/10.1007/11840930_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38871-5

  • Online ISBN: 978-3-540-38873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics