Assaneo, M. F.; Rimmele, J. M.; Orpella, J.; Ripollés, P.; de Diego-Balaguer, R.; Poeppel, D.: The lateralization of speech-brain coupling is differentially modulated by intrinsic auditory and top-down mechanisms. Frontiers in Integrative Neuroscience 13, 28 (2019)

Hoshi, H.; Kwon, N.; Akita, K.; Auracher, J.: Semantic associations dominate over perceptual associations in vowel–size iconicity. i-Perception 10 (4) (2019)

Forster, F.; Weinmann, T.; Gerlich, J.; Schlotz, W.; Weinmayr, G.; Genuneit, J.; Windstetter, D.; Vogelberg, C.; von Mutius, E.; Nowak, D. et al.; Radon, K.: Work-related stress and incident asthma and rhinitis: Results from the SOLAR study. International Archives of Occupational and Environmental Health 92 (5), S. 673 - 681 (2019)

Rimmele, J. M.; Gudi-Mindermann, H.; Nolte, G.; Roeder, B.; Engel, K. A.: Working memory training integrates visual cortex into beta-band networks in congenitally bind individuals. NeuroImage 194, S. 259 - 271 (2019)

Schlotz, W.: Investigating associations between momentary stress and cortisol in daily life: What have we learned so far? Psychoneuroendocrinology 105, S. 105 - 116 (2019)

Wald-Fuhrmann, M.: Komplement und Korrektiv: Empirie als Teil einer transdisziplinären Musikästhetik. Musik & Ästhetik 23 (91), S. 84 - 88 (2019)

Menninghaus, W.; Wagner, V.; Kegel, V.; Knoop, C. A.; Schlotz, W.: Beauty, elegance, grace, and sexiness compared. PLoS One 14 (6), e0218728 (2019)

Lewis, G. A.; Poeppel, D.; Murphy, G. L.: Contrasting semantic versus inhibitory processing in the angular gyrus: An fMRI study. Cerebral Cortex 29 (6), S. 2470 - 2481 (2019)

Kraxenberger, M.: Zum Stil einer digital geprägten Leserealität: Eine Untersuchung der Fifty Shades of Grey-Trilogie mittels Dargestelltem und Darstellung. Orbis Litterarum. Special Issue: Style 74 (3), S. 205 - 218 (2019)

Omigie, D.; Pearce, M.; Lehongre, K.; Hasboun, D.; Navarro, V.; Adam, C.; Samson, S.: Intracranial recordings and computational modeling of music reveal the time course of prediction error signaling in frontal and temporal cortices. Journal of Cognitive Neuroscience 31 (6), S. 855 - 873 (2019)

Tavano, A.; Poeppel, D.: A division of labor between power and phase coherence in encoding attention to stimulus streams. NeuroImage 193, S. 146 - 156 (2019)

Vroegh, T. P.: Zoning-in or tuning-in? Identifying distinct absorption states in response to music. Psychomusicology: Music, Mind, and Brain 29 (2-3), S. 156 - 170 (2019)

Doelling, K. B.; Assaneo, M. F.; Bevilacqua, D.; Pesaran, B.; Poeppel, D.: An oscillator model better predicts cortical entrainment to music. Proceedings of the National Academy of Sciences of the United States of America 116 (20), S. 10113 - 10121 (2019)

Auracher, J.; Scharinger, M.; Menninghaus, W.: Contiguity-based sound iconicity: The meaning of words resonates with phonetic properties of their immediate verbal contexts. PLoS One 14 (5), e0216930 (2019)

Assaneo, M. F.; Ripollés, P.; Orpella, J.; Lin, W. M.; de Diego-Balaguer, R.; Poeppel, D.: Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning. Nature Neuroscience 22, S. 627 - 632 (2019)

Flinker, A.; Doyle, W. K.; Mehta, A. D.; Devinsky, O.; Poeppel, D.: Spectrotemporal modulation provides a unifying framework for auditory cortical asymmetries. Nature Human Behaviour 3 (4), S. 393 - 405 (2019)

Larrouy-Maestri, P.; Harrison, P. M. C.; Müllensiefen, D.: The mistuning perception test: A new measurement instrument. Behavior Research Methods 51 (2), S. 663 - 675 (2019)

Rowland, J.; Kasdan, A.; Poeppel, D.: There is music in repetition: Looped segments of speech and nonspeech induce the perception of music in a time-dependent manner. Psychonomic Bulletin & Review 26 (2), S. 583 - 590 (2019)

Greb, F.; Steffens, J.; Schlotz, W.: Modeling music-selection behavior in everyday life: A multilevel statistical learning approach and mediation analysis of experience sampling data. Frontiers in Psychology 10, 390 (2019)

Wallot, S.: Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series. Multivariate Behavioral Research 54 (2), S. 173 - 191 (2019)