Paper Info
Title
Assessing the Properties of Single-Trial Fixation-Related Potentials in a Complex Choice Task.
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.
Year
DOI
Venue
2016
10.1007/978-3-319-46672-9_62
ICONIP
Field
DocType
Volume
Pattern recognition,Regression,Latency (engineering),Computer science,Artificial intelligence,Machine learning
Conference
9948
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
1
4
Name
Order
Citations
PageRank
Dennis Wobrock100.34
Andrea Finke2608.34
Thomas Schack3337.51
Helge Ritter42020415.97