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Applied Psychology. Health and Well-Being|September 16, 2023
Regular use of acupressure mats reduces perceived stress at subjective but not psychophysiological levels: Insights from a three-week relaxation trainingJoanna Kisker, Benjamin Schöne
Psychological Research|September 15, 2019
Behavioral realism and lifelike psychophysiological responses in virtual reality by the example of a height exposureJoanna Kisker, Thomas Gruber, Benjamin Schöne
Psychological Research|September 15, 2020
Virtual reality experiences promote autobiographical retrieval mechanisms: Electrophysiological correlates of laboratory and virtual experiencesJoanna Kisker, Thomas Gruber, Benjamin Schöne
Experimental Brain Research|July 6, 2018
Coherence in general and personal semantic knowledge: functional differences of the posterior and centro-parietal N400 ERP componentBenjamin Schöne, Moritz Köster, Thomas Gruber
Acta Psychologica|September 8, 2024
Current opportunities and challenges of immersive virtual reality for psychological research and applicationCornelia Wrzus, Marie Ottilie Frenkel, Benjamin Schöne
Experimental Brain Research|November 6, 2015
Event-related frontal alpha asymmetries: electrophysiological correlates of approach motivationBenjamin Schöne, Jessica Schomberg, Thomas Gruber, et al.
Experimental Brain Research|January 11, 2016
Emotion and hypervigilance: negative affect predicts increased P1 responses to non-negative pictorial stimuliJessica Schomberg, Benjamin Schöne, Thomas Gruber, et al.
Frontiers in Psychology|February 13, 2023
Comparing encoding mechanisms in realistic virtual reality and conventional 2D laboratory settings: Event-related potentials in a repetition suppression paradigmMarike Johnsdorf, Joanna Kisker, Thomas Gruber, et al.
Experimental Brain Research|May 5, 2020
Electrophysiological correlates of gist perception: a steady-state visually evoked potentials studyElise L Radtke, Benjamin Schöne, Ulla Martens, et al.
Behavior Research Methods|March 7, 2024
SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methodsSophia Sylvester, Merle Sagehorn, Thomas Gruber, et al.
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