Abstract
Event-related potentials (ERP) are usually studied by means of their grand averages, or, like in brain-machine interfaces (BMI), classified on a single-trial level. Both approaches do not offer a detailed insight into the individual, qualitative variations of the ERP occurring between single trials. These variations, however, convey valuable information on subtle but relevant differences in the neural processes that generate these potentials. Understanding these differences is even more important when ERP are studied in more complex, natural and real-life scenarios, which is essential to improve and extend current BMI. We propose an approach for assessing these variations, namely amplitude, latency and morphology, in a recently introduced ERP, fixation-related potentials (FRP). To this end, we conducted a study with a complex, real-world like choice task to acquire FRP data. Then, we present our method based on multiple-linear regression and outline, how this method may be used for a detailed, qualitative analysis of single-trial FRP data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brouwer, A.M., Reuderink, B., Vincent, J., van Gerven, M.A.J., van Erp, J.B.F.: Distinguishing between target and nontarget fixations in a visual search task using fixation-related potentials. J. Vis. 13(3), 1–10 (2013)
Finke, A., Essig, K., Marchioro, G., Ritter, H.: Toward FRP-based brain-machine interfaces: single-trial classification of fixation-related potentials. PLoS ONE 11(1), 1–19 (2016)
Finke, A., Lenhardt, A., Ritter, H.: The mindgame: a P300-based brain-computer interface game. Neural Netw. 22, 1329–1333 (2009)
Hayhoe, M., Ballard, D.: Eye movements in natural behavior. TRENDS Cogn. Sci. 9(4), 188–194 (2005)
Hu, L., Liang, M., Mouraux, A., Wise, R., Hu, Y., Iannetti, G.: Taking into account latency, amplitude and morphology: improved estimation of single-trial ERPS by wavelet filtering and multiple linear regression. J. Neurophysiol. 106, 3216–3229 (2011)
Hu, L., Mouraux, A., Hu, Y., Iannetti, G.: A novel approach for enhancing the signal-to-noise ratio and detecting automatically event-related potentials (ERPS) in single trials. NeuroImage 50(1), 99–111 (2010)
Luck, S.J.: An Introduction to the Event Related Potential Technique. MIT Press, Cambridge (2005)
Uscumlic, M., Blankertz, B.: Active visual search in non-stationary scenes: coping with temporal variability and uncertainty. J. Neural Eng. 13(1), 016015 (2016)
Acknowledgments
This research/work was supported by the Cluster of Excellence Cognitive Interaction Technology ‘CITEC’ (EXC 277) at Bielefeld University, which is funded by the German Research Foundation (DFG).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Wobrock, D., Finke, A., Schack, T., Ritter, H. (2016). Assessing the Properties of Single-Trial Fixation-Related Potentials in a Complex Choice Task. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9948. Springer, Cham. https://doi.org/10.1007/978-3-319-46672-9_62
Download citation
DOI: https://doi.org/10.1007/978-3-319-46672-9_62
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46671-2
Online ISBN: 978-3-319-46672-9
eBook Packages: Computer ScienceComputer Science (R0)