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Cited by 1EEG and Brain-Computer InterfacesEmotion and Mood RecognitionGaze Tracking and Assistive Technology

The DOI matches its DataCite record.

ERP-XTTN: Interpretable Cross-Subject Error-Related Potential Classification via Cross-Attention to Data-Driven ERP Prototypes

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Wyman, Charlotte Genevier, Hirshfield, Leanne·2026·Verlag der Technischen Universität Graz
DOI 10.3217/978-3-99161-093-9-053
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  • ERP-XTTN was introduced for error-related potentials, using a constrained, hand-specified polarity sequence to locate prototype windows based on the training subjects' grand-average difference wave.

    “ERP-XTTN (ERP Cross-Attention) [30] was introduced for error-related potentials, using a constrained, hand-specified polarity sequence to locate prototype windows based on the training subjects' grand-average difference wave.”

    From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [30]

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Metadata

Authors
Wyman, C. G., & Hirshfield, L.
ORCID
Venue
Verlag der Technischen Universität Graz
Publisher
Verlag der Technischen Universität Graz
Published
2026
DOI
10.3217/978-3-99161-093-9-053
OpenAlex
W7213957423
Cited by
0
References
0
Type
data paper
Language
en
Open access
Locations
TUGraz OPEN Library (Graz University of Technology)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
error-related potentials, ERP classification, cross-attention, model interpretability, cross-subject classification, event-related potentials

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