Publikationen der Abteilung Neurowissenschaften
2020
Kim, S., Poeppel, D., & Overath, T. (2020). Modulation change detection in human
auditory cortex: Evidence for asymmetric, non‐linear edge detection (ahead of print). European Journal
of Neuroscience: European Neuroscience Association. doi:10.1111/ejn.14707.
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Teng, X., Ma, M., Yang, J., Blohm, S., Cai, Q., & Tian, X. (2020). Constrained
structure of ancient Chinese poetry facilitates speech content grouping. Current Biology,
Advance online Publication. doi:10.1016/j.cub.2020.01.059.
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Giroud, J., Trébuchon, A., Schön, D., Marquis, P., Liegeois-Chauvel, C., Poeppel, D., & Morillon, B. (2020).
Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy. PLoS Biology,18(3): e3000207. doi:10.1371/journal.pbio.3000207.
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Assaneo, M. F., Rimmele, J. M., Orpella, J., Ripollés, P., de Diego-Balaguer, R., & Poeppel, D. (2020).
Corrigendum: The lateralization of speech-brain coupling is differentially modulated by intrinsic auditory and top-down mechanisms. Frontiers in Integrative Neuroscience, 14:2. doi:10.3389/fnint.2019.00028.
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An, H., Auksztulewicz, R., Kang, H., & Schnupp, J. W. H. (2020). Cortical mapping
of mismatch responses to independent acoustic features (in press). Hearing Research, 107894.
doi:10.1016/j.heares.2020.107894.
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Peviani, V. C., Liotta, J., & Bottini, G. (2020). The motor system (partially)
deceives body representation biases in absence of visual correcting cues. Acta Psychologica,203: 103003. doi:10.1016/j.actpsy.2020.103003.
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2019
Grabenhorst, M., Michalareas, G., Maloney, L. T., & Poeppel, D. (2019). The anticipation
of events in time. Nature Communications,10: 5802.
doi:10.1038/s41467-019-13849-0.
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Todorovic, A., & Auksztulewicz, R. (2019). Dissociable neural effects of temporal
expectations due to passage of time and contextual probability (in press). Hearing Research,
107871. doi:10.1016/j.heares.2019.107871.
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Appelhoff, S., Sanderson, M., Brooks, T. L., van Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K.,
Höchenberger, R., Welke, D., Brunner, C., Rockhill, A. P., Larson, E., Gramfort, A., & Jas, M. (2019).
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.
The Journal of Open Source Software,4(44): 1896. doi:10.21105/joss.01896.
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Meyer, L., Sun, Y., & Martin, A. E. (2019). Synchronous, but not entrained: Exogenous
and endogenous cortical rhythms of speech and language processing. Language, Cognition and Neuroscience.
doi:10.1080/23273798.2019.1693050.
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Auksztulewicz, R., Myers, N. E., Schnupp, J. W., & Nobre, A. C. (2019). Rhythmic
temporal expectation boosts neural activity by increasing neural gain. The Journal of Neuroscience,39(49), 9806-9817. doi:10.1523/JNEUROSCI.0925-19.2019.
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Gabriel, P. G., Chen, K. J., Alasfour, A., Pailla, T., Doyle, W. K., Devinsky, O., Friedman, D., Dugan, P., Melloni, L., Thesen,
T., Gonda, D., Sattar, S., Wang, S. G., & Gilja, V. (2019). Neural correlates of
unstructured motor behaviors. Journal of Neural Engineering,16(6):
066026. doi:10.1088/1741-2552/ab355c.
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Teng, X., Cogan, G., & Poeppel, D. (2019). Speech fine structure contains critical
temporal cues to support speech segmentation. NeuroImage,202:
116152. doi:10.1016/j.neuroimage.2019.116152.
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Bruder, C., & Wöllner, C. (2019). Subvocalization in singers: Laryngoscopy and
surface EMG effects when imagining and listening to song and text. Psychology of Music.
doi:10.1177/0305735619883681.
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Dikker, S., Michalareas, G., Oostrik, M., Serafimaki, A., Kahraman, H. M., Struiksma, M. E., & Poeppel, D. (2019).
Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory (preprint). bioRxiv. doi:10.1101/822320.
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Henin, S., Borges, H., Shankar, A., Sarac, C., Melloni, L., Friedman, D., Flinker, A., Parra, L. C., Buzsaki, G., Devinsky,
O., & Liu, A. (2019). Closed-loop acoustic stimulation enhances sleep oscillations
but not memory performance. eNeuro,6(6): 0306-19.2019.
doi:10.1523/ENEURO.0306-19.2019.
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Melloni, L., Buffalo, E. A., Dehaene, S., Friston, K. J., Ghazanfar, A. A., Giraud, A.-L., Grafton, S. T., Haegens, S., Pesaran,
B., Petkov, C. I., & Poeppel, D. (2019). Computation and its neural implementation
in human cognition. In W. Singer, T. J. Sejnowski, & P. Rakic (
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Isik, A. I., & Vessel, E. A. (2019). Continuous ratings of movie watching reveal
idiosyncratic dynamics of aesthetic enjoyment. PLoS One,14(10):
e0223896. doi:10.1371/journal.pone.0223896.
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Pallavicini, C., Vilas, M. G., Villarreal, M., Zamberlan, F., Muthukumaraswamy, S., Nutt, D., Carhart-Harris, R., & Tagliazucchi,
E. (2019). Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives. NeuroImage,200, 281-291. doi:10.1016/j.neuroimage.2019.06.053.
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Kiai, A. (2019). To protect credibility in science, banish “publish or perish”. Nature Human Behaviour,3, 1017-1018. doi:10.1038/s41562-019-0741-0.
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Tavano, A., Schröger, E., & Kotz, S. A. (2019). Beta power encodes contextual estimates
of temporal event probability in the human brain. PLoS One,14(9):
e0222420. doi:10.1371/journal.pone.0222420.
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Peviani, V., Melloni, L., & Bottini, G. (2019). Visual and somatosensory information
contribute to distortions of the body model. Scientific Reports,9:
13570. doi:10.1038/s41598-019-49979-0.
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Vessel, E. A., Isik, A. I., Belfi, A. M., Stahl, J. L., & Starr, a. G. G. (2019).
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. doi:10.1073/pnas.1902650116.
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Ayoub, M.-R., Larrouy-Maestri, P., & Morsomme, D. (2019). The effect of smoking
on the fundamental frequency of the speaking voice. Journal of Voice,33(5),
802.e11-802.e16. doi:10.1016/j.jvoice.2018.04.001.
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Gehrig, J., Michalareas, G., Forster, M.-T., Lei, J., Hok, P., Laufs, H., Senft, C., Seifert, V., Schoffelen, J.-M., Hanslmayr,
S., & Kell, C. A. (2019). Low-frequency oscillations code speech during verbal
working memory. The Journal of Neuroscience,39(33),
6498-6512. doi:10.1523/JNEUROSCI.0018-19.2019.
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Rimmele, J. M., Gudi-Mindermann, H., Nolte, G., Roeder, B., & Engel, K. A. (2019).
Working memory training integrates visual cortex into beta-band networks in congenitally bind individuals.
NeuroImage,194, 259-271. doi:10.1016/j.neuroimage.2019.03.003.
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Lewis, G. A., Poeppel, D., & Murphy, G. L. (2019). Contrasting semantic versus
inhibitory processing in the angular gyrus: An fMRI study. Cerebral Cortex,29(6),
2470-2481. doi:10.1093/cercor/bhy118.
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Tavano, A., & Poeppel, D. (2019). A division of labor between power and phase coherence
in encoding attention to stimulus streams. NeuroImage,193,
146-156. doi:10.1016/j.neuroimage.2019.03.018.
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Doelling, K. B., Assaneo, M. F., Bevilacqua, D., Pesaran, B., & Poeppel, D. (2019).
An oscillator model better predicts cortical entrainment to music. Proceedings of the National Academy
of Sciences of the United States of America,116(20), 10113-10121. doi:10.1073/pnas.1816414116.
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Flinker, A., Doyle, W. K., Mehta, A. D., Devinsky, O., & Poeppel, D. (2019). Spectrotemporal
modulation provides a unifying framework for auditory cortical asymmetries. Nature Human Behaviour,3(4), 393-405. doi:10.1038/s41562-019-0548-z.
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Rowland, J., Kasdan, A., & Poeppel, D. (2019). 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), 583-590. doi:10.3758/s13423-018-1527-5.
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Larrouy-Maestri, P., Harrison, P. M. C., & Müllensiefen, D. (2019). The mistuning
perception test: A new measurement instrument. Behavior Research Methods,51(2),
663-675. doi:10.3758/s13428-019-01225-1.
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Assaneo, M. F., Ripollés, P., Orpella, J., Lin, W. M., de Diego-Balaguer, R., & Poeppel, D. (2019).
Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning. Nature
Neuroscience,22, 627-632. doi:10.1038/s41593-019-0353-z.
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Rimmele, J. M., Sun, Y., Michalareas, G., Ghitza, O., & Poeppel, D. (2019). Dynamics
of functional networks for syllable and word-level processing (preprint). bioRxiv. doi:10.1101/584375.
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Belfi, A. M., Vessel, E. A., Brielmann, A., Isik, A. I., Chatterjee, A., Leder, H., Pelli, D. G., & Starr, G. (2019).
Dynamics of aesthetic experience are reflected in the default-mode network. NeuroImage,188, 584-597. doi:10.1016/j.neuroimage.2018.12.017.
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Bevilacqua, D., Davidesco, I., Wan, L., Chaloner, K., Rowland, J., Ding, M., Poeppel, D., & Dikker, S. (2019).
Brain-to-brain synchrony and learning outcomes vary by student-teacher dynamics: Evidence from a real-world classroom electroencephalography
study. Journal of Cognitive Neuroscience,31(3), 401-411.
doi:10.1162/jocn_a_01274.
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Adrian, J., Bode, N., Amos, M., Baratchi, M., Beermann, M., Boltes, M., Corbetta, A., Dezecache, G., Drury, J., Fu, Z., Geraerts,
R., Gwynne, S., Hofinger, G., Hunt, A., Kanters, T., Kneidl, A., Konya, K., Köster, G., Küpper, M., Michalareas, G., Neville,
F., Ntontis, E., Reicher, S., Ronchi, E., Schadschneider, A., Seyfried, A., Shipman, A., Sieben, A., Spearpoint, M., Sullivan,
G. B., Templeton, A., Toschi, F., Yücel, Z., Zanlungo, F., Zuriguel, I., van der Wal, N., van Schadewijk, F., von Krüchten,
C., & Wijermans, N. (2019). A glossary for research on human crowd dynamics. Collective Dynamics,4: A19, pp. 1-13. doi:10.17815/CD.2019.19.
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Henin, S., Shankar, A., Hasulak, N., Friedman, D., Dugan, P., Melloni, L., Flinker, A., Sarac, C., Fang, M., Doyle, W., Tcheng,
T., Devinsky, O., Davachi, L., & Liu, A. (2019). Hippocampal gamma predicts associative
memory performance as measured by acute and chronic intracranial EEG. Scientific Reports,9: 593. doi:10.1038/s41598-018-37561-z.
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Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre,
E., Snyder, M., Oya, H., Ghosh, S. S., Wright, J., Durnez, J., Poldrack, R. A., & Gorgolewski, K. J. (2019).
fMRIPrep: A robust preprocessing pipeline for functional MRI. Nature methods,16(1),
111-116. doi:10.1038/s41592-018-0235-4.
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2018
Getz, H., Ding, N., Newport, E. L., & Poeppel, D. (2018). Cortical tracking of
constituent structure in language acquisition. Cognition,181,
135-140. doi:10.1016/j.cognition.2018.08.019.
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Bosker, H. R., & Ghitza, O. (2018). Entrained theta oscillations guide perception
of subsequent speech: Behavioural evidence from rate normalisation. Language, Cognition and Neuroscience,33(8), 955-967. doi:10.1080/23273798.2018.1439179.
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Liu, A., Vöröslakos, M., Kronberg, G., Henin, S., Krause, M. R., Huang, Y., Opitz, A., Mehta, A., Pack, C. C., Krekelberg,
B., Berényi, A., Parra, L. C., Melloni, L., Devinsky, O., & Buzsáki, G. (2018).
Immediate neurophysiological effects of transcranial electrical stimulation. Nature Communications,9: 5092. doi:10.1038/s41467-018-07233-7.
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Auksztulewicz, R., Schwiedrzik, C. M., Thesen, T., Doyle, W., Devinsky, O., Nobre, A. C., Schroeder, C. E., Friston, K. J.,
& Melloni, L. (2018). Not all predictions are equal: "What" and "when" predictions
modulate activity in auditory cortex through different mechanisms. The Journal of Neuroscience,38(40), 8680-8693. doi:10.1523/JNEUROSCI.0369-18.2018.
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Caletti, E., Delvecchio, G., Andreella, A., Finos, L., Perlini, C., Tavano, A., Lasalvia, A., Bonetto, C., Cristofalo, D.,
Lamonaca, D., Ceccato, E., Pileggi, F., Mazzi, F., Santonastaso, P., Ruggeri, M., Bellani, M., & Brambilla, P. (2018).
Prosody abilities in a large sample of affective and non-affective first episode psychosis patients.
Comprehensive Psychiatry,86, 31-38. doi:10.1016/j.comppsych.2018.07.004.
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Belfi, A. M., Kasdan, A., Rowland, J., Vessel, E. A., Starr, G. G., & Poeppel, D. (2018).
Rapid timing of musical aesthetic judgments. Journal of Experimental Psychology: General,147(10), 1531-1543. doi:10.1037/xge0000474.
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Vessel, E. A., Maurer, N., Denker, A. H., & Starr, G. G. (2018). Stronger shared
taste for natural aesthetic domains than for artifacts of human culture. Cognition,179, 121-131. doi:10.1016/j.cognition.2018.06.009.
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Rimmele, J. M., Morillon, B., Poeppel, D., & Arnal, L. H. (2018). Proactive sensing
of periodic and aperiodic auditory patterns. Trends in Cognitive Sciences [Special Issue: Time in
the Brain],22(10), 870-882. doi:10.1016/j.tics.2018.08.003.
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Teng, X., Tian, X., Doelling, K., & Poeppel, D. (2018). Theta band oscillations
reflect more than entrainment: Behavioral and neural evidence demonstrates an active chunking process.
European Journal of Neuroscience: European Neuroscience Association,48(8),
2770-2782. doi:10.1111/ejn.13742.
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Penn, L. R., Ayasse, N. D., Wingfield, A., & Ghitza, O. (2018). The possible role
of brain rhythms in perceiving fast speech: Evidence from adult aging. The Journal of the Acoustical
Society of America,144(4), 2088-2094. doi:10.1121/1.5054905.
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Henin, S., Shankar, A., Hasulak, N., Friedman, D., Dugan, P., Melloni, L., Flinker, A., Sarac, C., Fang, M., Doyle, W., Tcheng,
T., Devinsky, O., Davachi, L., & Liu, A. (2018). Hippocampal gamma predicts associative
memory performance as measured by acute and chronic intracranial EEG. Annals of Neurology,84(S22), S235-S236.
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Larrouy-Maestri, P., & Pfordresher, P. Q. (2018). Pitch perception in music: Do
scoops matter? Journal of Experimental Psychology: Human Perception and Performance,44(10), 1523-1541. doi:10.1037/xhp0000550.
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Teng, X., Sun, Y., & Poeppel, D. (2018). Temporal order judgment reveals local-global
auditory processes. SI,104(5), 817-820. doi:10.3813/AAA.919231.
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Schwiedrzik, C. M., Sudmann, S. S., Thesen, T., Wang, X., Groppe, D. M., Megevand, P., Doyle, W., Mehta, A. D., Devinsky,
O., & Melloni, L. (2018). Medial prefrontal cortex supports perceptual memory. Current Biology,28(18), R1094-R1095. doi:10.1016/j.cub.2018.07.066.
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Gwilliams, L., Linzen, T., Poeppel, D., & Marantz, A. (2018). In spoken word recognition,
the future predicts the past. The Journal of Neuroscience,38(35),
7585-7599. doi:10.1523/JNEUROSCI.0065-18.2018.
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Gudi-Mindermann, H., Rimmele, J. M., Nolte, G., Bruns, P., Engel, A. K., & Röder, B. (2018).
Working memory training in congenitally blind individuals results in an integration of occipital cortex in functional networks. Behavioural Brain Research,348, 31-41. doi:10.1016/j.bbr.2018.04.002.
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Belfi, A. M., Vessel, E. A., & Starr, G. G. (2018). Individual ratings of vividness
predict aesthetic appeal in poetry. Psychology of Aesthetics, Creativity, and the Arts,12(3), 341-350. doi:10.1037/aca0000153.
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Larrouy-Maestri, P. (2018). “I know it when I hear it”: On listeners’ perception of
mistuning. Music & Science,1, 1-17. doi:10.1177/2059204318784582.
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Schwiedrzik, C. M., Melloni, L., & Schurger, A. (2018). Mooney face stimuli for
visual perception research. PLoS One,13(7): e0200106.
doi:10.1371/journal.pone.0200106.
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Roeske, T. C., Kelty-Stephen, D., & Wallot, S. (2018). Multifractal analysis reveals
music-like dynamic structure in songbird rhythms. Scientific Reports,8:
4570. doi:10.1038/s41598-018-22933-2.
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Tian, X., Ding, N., Teng, X., Bai, F., & Poeppel, D. (2018). Imagined speech influences
perceived loudness of sound. Nature Human Behaviour,2(3),
225-234. doi:10.1038/s41562-018-0305-8.
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Lakens, D., Adolfi, F., Albers, C. J., Anvari, F., Apps, M. A. J., Argamon, S. E., Baguley, T., Becker, R. B., Benning, S.
D., Bradford, D. E., Buchanan, E. M., Caldwell, A. R., Calster, B. V., Carlsson, R., Chen, S.-C., Chung, B., Colling, L. J.,
Collins, G. S., Crook, Z., Cross, E. S., Daniels, S., Danielsson, H., DeBruine, L., Dunleavy, D. J., Earp, B. D., Feist, M.
I., Ferrell, J. D., Field, J. G., Fox, N. W., Friesen, A., Gomes, C., Gonzalez-Marquez, M., Grange, J. A., Grieve, A. P.,
Guggenberger, R., Grist, J., van Harmelen, A.-L., Hasselman, F., Hochard, K. D., Hoffarth, M. R., Holmes, N. P., Ingre, M.,
Isager, P. M., Isotalus, H. K., Johansson, C., Juszczyk, K., Kenny, D. A., Khalil, A. A., Konat, B., Lao, J., Larsen, E. G.,
Lodder, G. M. A., Lukavský, J., Madan, C. R., Manheim, D., Martin, S. R., Martin, A. E., Mayo, D. G., McCarthy, R. J., McConway,
K., McFarland, C., Nio, A. Q. X., Nilsonne, G., de Oliveira, C. L., de Xivry, J.-J.-O., Parsons, S., Pfuhl, G., Quinn, K.
A., Sakon, J. J., Saribay, S. A., Schneider, I. K., Selvaraju, M., Sjoerds, Z., Smith, S. G., Smits, T., Spies, J. R., Sreekumar,
V., Steltenpohl, C. N., Stenhouse, N., Świątkowski, W., Vadillo, M. A., Assen, M. A. L. M. V., Williams, M. N., Williams,
S. E., Williams, D. R., Yarkoni, T., Ignazio, Z., & Zwaan, R. A. (2018). Justify
your alpha. Nature Human Behaviour,2(3), 168-171. doi:10.1038/s41562-018-0311-x.
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Assaneo, M. F., & Poeppel, D. (2018). The coupling between auditory and motor cortices
is rate-restricted: Evidence for an intrinsic speech-motor rhythm. Science Advances,4(2): eaao3842. doi:10.1126/sciadv.aao3842.
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Rimmele, J. M., Gross, J., Molholm, S., & Keitel, A. (2018). Editorial: Brain oscillations
in human communication. Frontiers in Human Neuroscience, 12:39. doi:10.3389/fnhum.2018.00039.
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Rimmele, J. M., Gross, J., Molholm, S., & Keitel, A. (
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Kiai, A. (2018). Pinker’s (1994) The Language Instinct. In T. K. Shackelford, &
V. A. Weekes-Shackelford (
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Kiai, A. (2018). Steven Pinker. In T. K. Shackelford, & V. A. Weekes-Shackelford
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2017
Teng, X., Tian, X., Rowland, J., & Poeppel, D. (2017). Concurrent temporal channels
for auditory processing: Oscillatory neural entrainment reveals segregation of function at different scales.
PLoS Biology,15(11): e2000812. doi:10.1371/journal.pbio.2000812.
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Lafon, B., Henin, S., Huang, Y., Friedman, D., Melloni, L., Thesen, T., Doyle, W., Buzsáki, G., Devinsky, O., Parra, L. C.,
& Liu, A. A. (2017). Low frequency transcranial electrical stimulation does not
entrain sleep rhythms measured by human intracranial recordings. Nature Communications,8: 1199. doi:10.1038/s41467-017-01045-x.
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Ding, N., Patel, A., Chen, L., Butler, H., Luo, C., & Poeppel, D. (2017). Temporal
modulations in speech and music. Neuroscience & Biobehavioral Reviews,81(Part
B), 181-187. doi:10.1016/j.neubiorev.2017.02.011.
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Ding, N., Melloni, L., Yang, A., Wang, Y., Zhang, W., & Poeppel, D. (2017). Characterizing
neural entrainment to hierarchical linguistic units using electroencephalography (EEG). Frontiers
in Human Neuroscience,11: 481. doi:10.3389/fnhum.2017.00481.
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Scharinger, M., Steinberg, J., & Tavano, A. (2017). Integrating speech in time
depends on temporal expectancies and attention. Cortex,93,
28-40. doi:10.1016/j.cortex.2017.05.001.
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Merrill, J., & Larrouy-Maestri, P. (2017). Vocal features of song and speech: Insights
from Schoenberg's Pierrot Lunaire. Frontiers in Psychology, 8:1108. doi:10.3389/fpsyg.2017.01108.
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Tal, I., Large, E. W., Rabinovitch, E., Wei, Y., Schroeder, C. E., Poeppel, D., & Golumbic, E. Z. (2017).
Neural entrainment to the beat: The “Missing-Pulse” phenomenon. The Journal of Neuroscience,37(26), 6331-6341. doi:10.1523/JNEUROSCI.2500-16.2017.
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Isik, A. I., Naumer, M. J., Kaiser, J., Buschenlange, C., Wiesmann, S., Czoschke, S., & Yalachkov, Y. (2017).
Automatized smoking-related action schemata are reflected by reduced fMRI activity in sensorimotor brain regions of smokers. NeuroImage: Clinical,15, 753-760. doi:10.1016/j.nicl.2017.06.021.
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Bonhage, C. E., Meyer, L., Gruber, T., Friederici, A. D., & Mueller, J. L. (2017).
Oscillatory EEG dynamics underlying automatic chunking during sentence processing. NeuroImage,152, 647-657. doi:10.1016/j.neuroimage.2017.03.018.
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Dikker, S., Wan, L., Davidesco, I., Kaggen, L., Oostrik, M., McClintock, J., Rowland, J., Michalareas, G., Van Bavel, J. J.,
Ding, M., & Poeppel, D. (2017). Brain-to-brain synchrony tracks real-world dynamic
group interactions in the classroom. Current Biology,27(9),
1375-1380. doi:10.1016/j.cub.2017.04.002.
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Larrouy-Maestri, P., Morsomme, D., Magis, D., & Poeppel, D. (2017). Lay listeners
can evaluate the pitch accuracy of operatic voices. Music Perception,34(4),
489-495. doi:10.1525/mp.2017.34.4.489.
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Kokinous, J., Tavano, A., Kotz, S. A., & Schröger, E. (2017). Perceptual integration
of faces and voices depends on the interaction of emotional content and spatial frequency. Biological
Psychology,123, 155-165. doi:10.1016/j.biopsycho.2016.12.007.
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Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A., & Poeppel, D. (2017).
Neuroscience needs behavior: Correcting a reductionist bias. Neuron,93(3),
480-490. doi:10.1016/j.neuron.2016.12.041.
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Poeppel, D. (2017). The influence of Chomsky on the neuroscience of language. In J.
A. McGilvray (
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Ding, N., Melloni, L., Tian, X., & Poeppel, D. (2017). Rule-based and statistics-based
processing of language: Insights from neuroscience. Language, Cognition and Neuroscience,32(5), 570-575. doi:10.1080/23273798.2016.1215477.
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Larrouy-Maestri, P. (2017). The influence of non-musical variables on the evaluation
of vocal pitch accuracy. CFMAE Interdisciplinary Journal for Music and Art Pedagogy, Special Issue
on Singing & Voice,9, 123-141.
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Teng, X., Tian, X., & Poeppel, D. (2016). Testing multi-scale processing in the
auditory system. Scientific Reports,6: 34390. doi:10.1038/srep34390.
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Vessel, E. A., Biederman, I., Subramaniam, S., & Greene, M. R. (2016). Effective
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Zhou, H., Melloni, L., Poeppel, D., & Ding, N. (2016). Interpretations of frequency
domain analyses of neural entrainment: Periodicity, fundamental frequency, and harmonics. Frontiers
in Human Neuroscience,10: 274. doi:10.3389/fnhum.2016.00274.
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Tian, X., Zarate, J. M., & Poeppel, D. (2016). Mental imagery of speech implicates
two mechanisms of perceptual reactivation. Cortex,77,
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Steinberg Lowe, M., Lewis, G. A., & Poeppel, D. (2016). Effects of part- and whole-object
primes on early MEG responses to Mooney faces and houses. Frontiers in Psychology, 7:147.
doi:10.3389/fpsyg.2016.00147.
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Almeida, D., Poeppel, D., & Corina, D. (2016). The processing of biologically plausible
and implausible forms in American Sign Language: Evidence for perceptual tuning. Language, Cognition
and Neuroscience,31(3), 361-374. doi:10.1080/23273798.2015.1100315.
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Ding, N., Melloni, L., Zhang, H., Tian, X., & Poeppel, D. (2016). Cortical tracking
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Poeppel, D. (2016). Sprache hören und verstehen. In H. Böttger, & M. Sambanis (
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Larrouy-Maestri, P. (2016). Justesse en voix chantée: Bien évaluer pour bien guider.
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Doelling, K. B., & Poeppel, D. (2015). Cortical entrainment to music and its modulation
by expertise. Proceedings of the National Academy of Sciences of the United States of America,112(45), E6233-E6242. doi:10.1073/pnas.1508431112.
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Gagliardi, C., Brenna, V., Romaniello, R., Arrigoni, F., Tavano, A., Romani, M., Valente, E. M., & Borgatti, R. (2015). Cognitive rehabilitation in a child with Joubert Syndrome: Developmental trends and
adaptive changes in a single case report. Research in Developmental Disabilities,47, 375-384. doi:10.1016/j.ridd.2015.09.013.
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Larrouy-Maestri, P., Magis, D., Grabenhorst, M., & Morsomme, D. (2015). Layman
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Arnal, L. H., Flinker, A., Kleinschmidt, A., Giraud, A.-L., & Poeppel, D. (2015).
Human screams occupy a privileged niche in the communication soundscape. Current Biology,25(15), 2051-2056. doi:10.1016/j.cub.2015.06.043.
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Tavano, A., & Scharinger, M. (2015). Prediction in speech and language processing. Cortex,68, 1-7. doi:10.1016/j.cortex.2015.05.001.
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Zarate, J. M., Tian, X., Woods, K. J., & Poeppel, D. (2015). Multiple levels of
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Chait, M., Greenberg, S., Arai, T., Simon, J. Z., & Poeppel, D. (2015). Multi-time
resolution analysis of speech: Evidence from psychophysics. Frontiers in Neuroscience,9: 214. doi:10.3389/fnins.2015.00214.
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Overath, T., McDermott, J. H., Zarate, J. M., & Poeppel, D. (2015). The cortical
analysis of speech-specific temporal structure revealed by responses to sound quilts. Nature Neuroscience,18 (6), 903-911. doi:10.1038/nn.4021.
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Pfordresher, P. Q., & Larrouy-Maestri, P. (2015). On drawing a line through the
spectrogram: how do we understand deficits of vocal pitch imitation? Frontiers in Human Neuroscience,9: 271. doi:10.3389/fnhum.2015.00271.
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Rimmele, J., Zion Golumbic, E., Schröger, E., & Poeppel, D. (2015). The effects
of selective attention and speech acoustics on neural speech-tracking in a multi-talker scene. Cortex,68, 144-154. doi:10.1016/j.cortex.2014.12.014.
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Tian, X., & Poeppel, D. (2015). Dynamics of self-monitoring and error detection
in speech production: Evidence from mental imagery and MEG. Journal of Cognitive Neuroscience,27(2), 352-364. doi:10.1162/jocn_a_00692.
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Lewis, G. A., Poeppel, D., & Murphy, G. L. (2015). The neural bases of taxonomic
and thematic conceptual relations: An MEG study. Neuropsychologia,68,
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Rimmele, J., Sussman, E., & Poeppel, D. (2015). The role of temporal structure
in the investigation of sensory memory, auditory scene analysis, and speech perception: A healthy-aging perspective. International Journal of Psychophysiology,95(2), 175-183.
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Poeppel, D. (2015). Speech perception. In M. Liebermann, & A. W. Toga (
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Hickok, G., & Poeppel, D. (2015). Neural basis of speech perception. In G. G. Celesia,
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cortex. In G. G. Celesia, & G. Hickock (
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Cogan, G. B., Kirshenbaum, S. R., Walker, J., & Poeppel, D. (2015). A kiss is not
a kiss: Visually evoked neuromagnetic fields reveal differential sensitivities to brief presentations of kissing couples. NeuroReport,26(14), 850-855. doi:10.1097/wnr.0000000000000435.
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Larrouy-Maestri, P. (2015). Influence du stress sur la voix parlée et chantée. Langage et Pratiques,56, 33-42.
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Embick, D., & Poeppel, D. (2015). Towards a computational(ist) neurobiology of
language: Correlational, integrated and explanatory neurolinguistics. Language, Cognition and Neuroscience,30(4), 357-366. doi:10.1080/23273798.2014.980750.
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Farbood, M. M., Rowland, J., Marcus, G., Ghitza, O., & Poeppel, D. (2015). Decoding
time for the identification of musical key. Attention, Perception & Psychophysics,77(1), 28-35. doi:10.3758/s13414-014-0806-0.
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Poeppel, D., & Hickock, G. (2015). Electromagnetic recording of the auditory system.
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and language. Current Opinion in Neurobiology,28, 142-149.
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