Publications 2019

Journal Article

  1. 1.
    Grabenhorst, M.; Michalareas, G.; Maloney, L. T.; Poeppel, D.: The anticipation of events in time. Nature Communications 10 (2019)
  2. 2.
    Meyer, L.; Sun, Y.; Martin, A. E.: Synchronous, but not entrained: Exogenous and endogenous cortical rhythms of speech and language processing. Language, Cognition and Neuroscience (2019)
  3. 3.
    Auksztulewicz, R.; Myers, N. E.; Schnupp, J. W.; Nobre, A. C.: Rhythmic temporal expectation boosts neural activity by increasing neural gain. The Journal of Neuroscience 39 (49), pp. 9806 - 9817 (2019)
  4. 4.
    Gabriel, P. G.; Chen, K. J.; Alasfour, A.; Pailla, T.; Doyle, W. K.; Devinsky, O.; Friedman, D.; Dugan, P.; Melloni, L.; Thesen, T. et al.; Gonda, D.; Sattar, S.; Wang, S. G.; Gilja, V.: Neural correlates of unstructured motor behaviors. Journal of Neural Engineering 16 (6), 066026 (2019)
  5. 5.
    Mehr, S. A.; Singh, M.; Knox, D.; Ketter, D. M.; Pickens-Jones, D.; Atwood, S.; Lucas, C.; Jacoby, N.; Egner, A. A.; Hopkins, E. J. et al.; Howard, R. M.; Hartshorne, J. K.; Jennings, M. V.; Simson, J.; Bainbridge, C. M.; Pinker, S.; O’Donnell, T. J.; Krasnow, M. M.; Glowacki, L.: Universality and diversity in human song. Science 366 (6468) (2019)
  6. 6.
    Teng, X.; Cogan, G.; Poeppel, D.: Speech fine structure contains critical temporal cues to support speech segmentation. NeuroImage 202, 116152 (2019)
  7. 7.
    Bruder, C.; Wöllner, C.: Subvocalization in singers: Laryngoscopy and surface EMG effects when imagining and listening to song and text. Psychology of Music (2019)
  8. 8.
    Czoschke, S.; Henschke, S.; Lange, E. B.: On-item fixations during serial encoding do not affect spatialworking memory. Attention, Perception & Psychophysics 81 (8), pp. 2766 - 2787 (2019)
  9. 9.
    Dikker, S.; Michalareas, G.; Oostrik, M.; Serafimaki, A.; Kahraman, H. M.; Struiksma, M. E.; Poeppel, D.: Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory (preprint). bioRxiv (2019)
  10. 10.
    García-Rosales, F.; Röhrig, D.; Weineck, K.; Röhm, M.; Lin, Y.-H.; Cabral-Calderin, Y.; Kössl, M.; Hechavarria, J. C.: Laminar specificity of oscillatory coherence in the auditory cortex. Brain Structure and Function 224 (8), pp. 2907 - 2924 (2019)
  11. 11.
    John, D.; Schlee, W.; Schlotz, W.; Schobel, J.; Kraft, R.; Spiliopoulou, M.; Langguth, B.; Reichert, M.; O'Rourke, T.; Peters, H. et al.; Pieh, C.; Lahmann, C.; Probst, T.: Exploring the time trend of stress-levels while using the crowdsensing mHealth platform TrackYourStress and the influence of stress reactivity. JMIR mHealth and uHealth 7 (10) (2019)
  12. 12.
    Isik, A. I.; Vessel, E. A.: Continuous ratings of movie watching reveal idiosyncratic dynamics of aesthetic enjoyment. PLoS One 14 (10) (2019)
  13. 13.
    Pallavicini, C.; Vilas, M. G.; Villarreal, M.; Zamberlan, F.; Muthukumaraswamy, S.; Nutt, D.; Carhart-Harris, R.; Tagliazucchi, E.: Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives. NeuroImage 200, pp. 281 - 291 (2019)
  14. 14.
    Jacoby, N.; Undurraga, E. A.; McPherson, M. J.; Valdés, J.; Ossandón, T.; McDermott, J. H.: Universal and non-universal features of musical pitch perception revealed by singing. Current Biology 29 (19), pp. 3229 - 3243.e12 (2019)
  15. 15.
    Tavano, A.; Schröger, E.; Kotz, S. A.: Beta power encodes contextual estimates of temporal event probability in the human brain. PLoS One 14 (9) (2019)
  16. 16.
    Peviani, V.; Melloni, L.; Bottini, G.: Visual and somatosensory information contribute to distortions of the body model. Scientific Reports 9 (2019)
  17. 17.
    Knoop, C. A.; Blohm, S.; Kraxenberger, M.; Menninghaus, W.: How perfect are imperfect rhymes? Effects of phonological similarity and verse context on rhyme perception. Psychology of Aesthetics, Creativity, and the Arts (2019)
  18. 18.
    Omigie, D.; Frieler, K.; Bär, C.; Muralikrishnan, R.; Wald-Fuhrmann, M.; Fischinger, T.: Experiencing musical beauty: Emotional subtypes and their physiological and musico-acoustic correlates. Psychology of Aesthetics, Creativity, and the Arts (2019)
  19. 19.
    Vessel, E. A.; Isik, A. I.; Belfi, A. M.; Stahl, J. L.; Starr, a. G. G.: The default-mode network represents aesthetic appeal that generalizes across visual domains. Proceedings of the National Academy of Sciences of the United States of America (2019)
  20. 20.
    Ayoub, M.-R.; Larrouy-Maestri, P.; Morsomme, D.: The effect of smoking on the fundamental frequency of the speaking voice. Journal of Voice 33 (5), pp. 802.e11 - 802.e16 (2019)
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