Author

Eduardo Enrique Veas

Graz University of TechnologyORCID 0000-0002-0356-4034Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Bruce Hunter ThomasiD· 2 shared Gernot R Muller-PutziD· 2 shared Michael WimmeriD· 2 shared Neven ElSayediD· 2 shared Alex Pepicelli· 1 shared Andrew CunninghamiD· 1 shared Benjamin VolmeriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Bruce Hunter ThomasORCID

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2 papers

Recent·Most cited

An Online Brain-Computer Interface for Detecting Incongruity in Augmented Reality Applications

Michael Wimmer, Neven ElSayed, Bruce H. Thomas, Gernot R Muller-Putz, Eduardo Enrique Veas

This paper develops an online brain-computer interface to detect incongruity in augmented reality by combining eye-tracking and EEG, achieving 70% balanced accuracy in real-time classification.

Journal of Neural Engineering · May 19, 2026Peer-reviewedNeuroscience

Counting on AR: EEG responses to incongruent information with real-world context

Michael Wimmer, Alex Pepicelli, Benjamin Volmer, Neven ElSayed, Andrew Cunningham, Bruce Hunter Thomas, Gernot R Muller-Putz, Eduardo Enrique Veas

This study examines EEG responses to incongruent information in an AR environment, finding N400 and P600 components with increased latencies for non-symbolic stimuli and successful decoding using multiple methods.

Computers in Biology and Medicine · Dec 4, 2024Peer-reviewedNeuroscience