Skip to main content

Modelling the Effect of Cognitive Load on Eye Saccades and Reportability: The Validation Gate

  • Conference paper
  • First Online:
Biomimetic and Biohybrid Systems (Living Machines 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9793))

Included in the following conference series:

  • 2609 Accesses

Abstract

Being able to selectively attend to stimuli is essential for any agent operating in noisy environments. Humans have developed, or are inherently equipped, with mechanisms to do so; these mechanisms are a rich source of debate. Here, we contribute to it by building a functional model to describe the findings of an existing psychophysiological experiment demonstrating how early and late saccades as well as “conscious report” are affected by varying levels of cognitive load. The model adheres to the established principles of neurophysiology. In a task focused on the monitoring of moving stimuli, where objects usually move predictably but randomly deviate from it every 0.2 s, change in cognitive load is reflected in the proportion of late saccades and behavioural reports in response to the task. It also provides evidence that the physiological structure of the brain is capable of implementing selective attention using a method other than the attentional spotlight.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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

Institutional subscriptions

References

  1. Borji, A., Itti, L.: State-of-the-art in visual attention modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 185–207 (2013)

    Article  MathSciNet  Google Scholar 

  2. Kok, P., Rahnev, D., Jehee, J.F., Lau, H.C., de Lange, F.P.: Attention reverses the effect of prediction in silencing sensory signals. Cereb. Cortex 22(9), 2197–2206 (2012)

    Article  Google Scholar 

  3. Zikopoulos, B., Barbas, H.: Prefrontal projections to the thalamic reticular nucleus form a unique circuit for attentional mechanisms. J. Neurosci. 26(28), 7348–7361 (2006)

    Article  Google Scholar 

  4. Mathews, Z., Cetnarski, R., Verschure, P.F.: Visual anticipation biases conscious decision making but not bottom-up visual processing. Front. Psychol. 5 (2014)

    Google Scholar 

  5. Miller, G.A.: The magical number seven, plus or minus two: some limits on ourcapacity for processing information. Psychol. Rev. 63(2), 81 (1956)

    Article  Google Scholar 

  6. Urbanski, M., Coubard, O.A., Bourlon, C.: Visualizing the blind brain: brain imaging of visual field defects from early recovery to rehabilitation techniques. Neurovision: Neural bases of binocular vision and coordination and their implications in visual training programs (2014)

    Google Scholar 

  7. Büchel, C., Friston, K.: Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI. Cereb. Cortex 7(8), 768–778 (1997)

    Article  Google Scholar 

  8. Dagnino, B., Gariel-Mathis, M.-A., Roelfsema, P.R.: Microstimulation of area V4 has little effect on spatial attention and on the perception of phosphenes evoked in area V1. J. Neurophysiol. 113(3), 730–739 (2015)

    Article  Google Scholar 

  9. Kirchner, H., Barbeau, E.J., Thorpe, S.J., Régis, J., Liégeois-Chauvel, C.: Ultra-rapid sensory responses in the human frontal eye field region. J. Neurosci. 29(23), 7599–7606 (2009)

    Article  Google Scholar 

  10. Sparks, D.L.: Translation of sensory signals into commands for control of saccadic eye movements: role of primate superior colliculus. Physiol. Rev. 66(1), 118–171 (1986)

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank all members of the SPECS group for their input during discussions, with a special mention for: Jordi-Ysard Puigbò, Riccardo Zucca and Clément Moulin-Frier.

This work is supported by the EU FP7 project WYSIWYD (FP7-ICT-612139).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sock C. Low .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Low, S.C., van Wijngaarden, J.B.G., Verschure, P.F.M.J. (2016). Modelling the Effect of Cognitive Load on Eye Saccades and Reportability: The Validation Gate. In: Lepora, N., Mura, A., Mangan, M., Verschure, P., Desmulliez, M., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2016. Lecture Notes in Computer Science(), vol 9793. Springer, Cham. https://doi.org/10.1007/978-3-319-42417-0_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42417-0_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42416-3

  • Online ISBN: 978-3-319-42417-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics