Publikationen der Abteilung Neurowissenschaften
2021
Henin, S., Turk-Browne, N. B., Friedman, D., Liu, A., Dugan, P., Flinker, A., Doyle, W., Devinsky, O., & Melloni, L. (2021). Learning hierarchical sequence representations across human cortex and hippocampus. Science Advances,7(8): eabc4530. doi:10.1126/sciadv.abc4530.
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Dikker, S., Michalareas, G., Oostrik, M., Serafimaki, A., Kahraman, H. M., Struiksma, M. E., & Poeppel, D. (2021).
Crowdsourcing neuroscience: Inter-brain coupling during face-to-face interactions outside the laboratory.
NeuroImage,227: 117436. doi:10.1101/822320.
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An, H., Kei, S. H., Auksztulewicz, R., & Schnupp, J. W. H. (2021). Do auditory
mismatch responses differ between acoustic features? Frontiers in Human Neuroscience,15: 613903. doi:10.3389/fnhum.2021.613903.
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Sokoliuk, R., Degano, G., Banellis, L., Melloni, L., Hayton, T., Sturman, S., Veenith, T., Yakoub, K. M., Belli, A., Noppeney,
U., & Cruse, D. (2021). Covert speech comprehension predicts recovery from acute
unresponsive states (early view). Annals of Neurology. doi:10.1002/ana.25995.
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Peviani, V. C., Magnani, F. G., Bottini, G., & Melloni, L. (2021). Metric biases
in body representation extend to objects. Cognition,206:
104490. doi:10.1016/j.cognition.2020.104490.
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An, H., Auksztulewicz, R., Kang, H., & Schnupp, J. W. H. (2021). Cortical mapping
of mismatch responses to independent acoustic features. Hearing Research,399:
107894. doi:10.1016/j.heares.2020.107894.
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Malmierca, M. S., & Auksztulewicz, R. (2021). Stimulus-specific adaptation, MMN
and predictive coding. Hearing Research,399: 108076.
doi:10.1016/j.heares.2020.108076.
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2020
Lubinus, C., Orpella, J., Keitel, A., Gudi-Mindermann, H., Engel, A. K., Roeder, B., & Rimmele, J. M. (2020).
Data-driven classification of spectral profiles reveals brain region-specific plasticity in blindness.
Cerebral Cortex, bhaa370. doi:10.1093/cercor/bhaa370.
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Liashenko, A., Dizaji, A. S., Melloni, L., & Schwiedrzik, C. M. (2020). Memory
guidance of value-based decision making at an abstract level of representation. Scientific Reports,10: 21496. doi:10.1038/s41598-020-78460-6.
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Hartley, C. A., & Poeppel, D. (2020). Beyond the stimulus: A neurohumanities approach
to language, music, and emotion. Neuron,108(4), 597-599.
doi:10.1016/j.neuron.2020.10.021.
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Dikker, S., Haegens, S., Bevilacqua, D., Davidesco, I., Wan, L., Kaggen, L., McClintock, J., Chaloner, K., Ding, M., West,
T., & Poeppel, D. (2020). Morning brain: Real-world neural evidence that high school
class times matter. Social Cognitive and Affective Neuroscience,14(11),
1193-1202. doi:10.1093/scan/nsaa142.
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Assaneo, M. F., Rimmele, J. M., Sanz Perl, Y., & Poeppel, D. (2020). Speaking rhythmically
can shape hearing. Nature Human Behaviour. doi:10.1038/s41562-020-00962-0.
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Meyer, L., Sun, Y., & Martin, A. E. (2020). “Entraining” to speech, generating
language? Language, Cognition and Neuroscience,35(9),
1138-1148. doi:10.1080/23273798.2020.1827155.
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Blanco-Elorrieta, E., Ding, N., Pylkkänen, L., & Poeppel, D. (2020). Understanding
requires tracking: Noise and knowledge interact in bilingual comprehension. Journal of Cognitive Neuroscience,32(10), 1975-1983. doi:10.1162/jocn_a_01610.
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Roeske, T. C., Tchernichovski, O., Poeppel, D., & Jacoby, N. (2020). Categorical
rhythms are shared between songbirds and humans. Current Biology,30(18),
3544-3555.e6. doi:10.1016/j.cub.2020.06.072.
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Shrestha, M., Lee, H. S., Nöth, U., & Deichmann, R. (2020). A novel sequence to
improve auditory functional MRI with variable silent delays (Early View). Magnetic Resonance in Medicine.
doi:10.1002/mrm.28479.
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Schlotz, W., Wallot, S., Omigie, D., Masucci, M. D., Hoelzmann, S. C., & Vessel, E. A. (2020).
The Aesthetic Responsiveness Assessment (AReA): A screening tool to assess individual differences in responsiveness to art
in English and German (Online First Posting). Psychology of Aesthetics, Creativity, and the Arts.
doi:10.1037/aca0000348.
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Poeppel, D., & Adolfi, F. (2020). Against the epistemological primacy of the hardware:
The brain from inside out, turned upside down. eNeuro,7(4):
0215-20.2020. doi:10.1523/ENEURO.0215-20.202.
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Harrison, P. M. C., Marjieh, R., Adolfi, F., van Rijn, P., Anglada-Tort, M., Tchernichovski, O., Larrouy-Maestri, P., &
Jacoby, N. (2020). Gibbs sampling with people. arXiv.
doi:10.17605/OSF.IO/RZK4S.
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Pu, Y., Cornwell, B. R., Cheyne, D., & Johnson, B. W. (2020). Gender differences
in navigation performance are associated with differential theta and high-gamma activities in the hippocampus and parahippocampus. Behavioural Brain Research,391: 112664. doi:10.1016/j.bbr.2020.112664.
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Peviani, V. C., & Bottini, G. (2020). Proprioceptive errors in the localization
of hand landmarks: What can be learnt about the hand metric representation? PLoS One,15(7): e0236416. doi:10.1371/journal.pone.0236416.
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Kim, S., Poeppel, D., & Overath, T. (2020). Modulation change detection in human
auditory cortex: Evidence for asymmetric, non‐linear edge detection. European Journal of Neuroscience:
European Neuroscience Association,52(2), 2889-2904. doi:10.1111/ejn.14707.
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Pu, Y., Cheyne, D., Sun, Y., & Johnson, B. W. (2020). Theta oscillations support
the interface between language and memory. NeuroImage,215:
116782. doi:10.1016/j.neuroimage.2020.116782.
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Vilas, M. G., & Melloni, L. (2020). A challenge for predictive coding: Representational
or experiential diversity? Behavioral and Brain Sciences,43:
e150. doi:10.1017/S0140525X19003157.
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Zhai, Y.-Y., Auksztulewicz, R., Song, P.-R., Sun, Z.-H., Gong, Y.-M., Du, X.-Y., He, J., & Yu, X. (2020).
Synaptic adaptation contributes to stimulus-specific adaptation in the Thalamic Reticular Nucleus (Letter to the Editor). Neuroscience Bulletin. doi:10.1007/s12264-020-00536-0.
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Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford,
J. A., Adcock, R. A., Avesani, P., Baczkowski, B. M., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton,
D., Beitner, J., Benoit, R. G., Berkers, R. M. W. J., Bhanji, J. P., Biswal, B. B., Bobadilla-Suarez, S., Bortolini, T., Bottenhorn,
K. L., Bowring, A., Braem, S., Brooks, H. R., Brudner, E. G., Calderon, C. B., Camilleri, J. A., Castrellon, J. J., Cecchetti,
L., Cieslik, E. C., Cole, Z. J., Collignon, O., Cox, R. W., Cunningham, W. A., Czoschke, S., Dadi, K., Davis, C. P., Luca,
A. D., Delgado, M. R., Demetriou, L., Dennison, J. B., Di, X., Dickie, E. W., Dobryakova, E., Donnat, C. L., Dukart, J., Duncan,
N. W., Durnez, J., Eed, A., Eickhoff, S. B., Erhart, A., Fontanesi, L., Fricke, G. M., Fu, S., Galván, A., Gau, R., Genon,
S., Glatard, T., Glerean, E., Goeman, J. J., Golowin, S. A. E., González-García, C., Gorgolewski, K. J., Grady, C. L., Green,
M. A., Moreira, J. F. G., Guest, O., Hakimi, S., Hamilton, J. P., Hancock, R., Handjaras, G., Harry, B. B., Hawco, C., Herholz,
P., Herman, G., Heunis, S., Hoffstaedter, F., Hogeveen, J., Holmes, S., Hu, C.-P., Huettel, S. A., Hughes, M. E., Iacovella,
V., Iordan, A. D., Isager, P. M., Isik, A. I., Jahn, A., Johnson, M. R., Johnstone, T., Joseph, M. J. E., Juliano, A. C.,
Kable, J. W., Kassinopoulos, M., Koba, C., Kong, X.-Z., Koscik, T. R., Kucukboyaci, N. E., Kuhl, B. A., Kupek, S., Laird,
A. R., Lamm, C., Langner, R., Lauharatanahirun, N., Lee, H., Lee, S., Leemans, A., Leo, A., Lesage, E., Li, F., Li, M. Y.
C., Lim, P. C., Lintz, E. N., Liphardt, S. W., Vermeer, A. B. L., Love, B. C., Mack, M. L., Malpica, N., Marins, T., Maumet,
C., McDonald, K., McGuire, J. T., Melero, H., Leal, A. S. M., Meyer, B., Meyer, K. N., Mihai, G., Mitsis, G. D., Moll, J.,
Nielson, D. M., Nilsonne, G., Notter, M. P., Olivetti, E., Onicas, A. I., Papale, P., Patil, K. R., Peelle, J. E., Pérez,
A., Pischedda, D., Poline, J.-B., Prystauka, Y., Ray, S., Reuter-Lorenz, P. A., Reynolds, R. C., Ricciardi, E., Rieck, J.
R., Rodriguez-Thompson, A. M., Romyn, A., Salo, T., Samanez-Larkin, G. R., Sanz-Morales, E., Schlichting, M. L., Schultz,
D. H., Shen, Q., Sheridan, M. A., Silvers, J. A., Skagerlund, K., Smith, A., Smith, D. V., Sokol-Hessner, P., Steinkamp, S.
R., Tashjian, S. M., Thirion, B., Thorp, J. N., Tinghög, G., Tisdall, L., Tompson, S. H., Toro-Serey, C., Tresols, J. J. T.,
Tozzi, L., Truong, V., Turella, L., van Veer, A. E. ‘., Verguts, T., Vettel, J. M., Vijayarajah, S., Vo, K., Wall, M. B.,
Weeda, W. D., Weis, S., White, D. J., Wisniewski, D., Xifra-Porxas, A., Yearling, E. A., Yoon, S., Yuan, R., Yuen, K. S. L.,
Zhang, L., Zhang, X., Zosky, J. E., Nichols, T. E., & Schonberg, R. A. P. &. T. (2020).
Variability in the analysis of a single neuroimaging dataset by many teams. Nature,582, 84-88. doi:10.1038/s41586-020-2314-9.
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Poeppel, D., & Assaneo, M. F. (2020). Speech rhythms and their neural foundations. Nature Reviews Neuroscience,21, 322-334. doi:10.1038/s41583-020-0304-4.
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Barron, H. C., Auksztulewicz, R., & Friston, K. (2020). Prediction and memory:
A predictive coding account. Progress in Neurobiology,192:
101821. doi:10.1016/j.pneurobio.2020.101821.
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Vessel, E. A. (2020). Neuroaesthetics. In Reference Module
in Neuroscience and Biobehavioral Psychology. Amsterdam: Elsevier. doi:10.1016/B978-0-12-809324-5.24104-7.
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Ghitza, O. (2020). “Acoustic-driven oscillators as cortical pacemaker”: a commentary
on Meyer, Sun & Martin (2019). Language, Cognition and Neuroscience. doi:10.1080/23273798.2020.1737720.
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Tavano, A., Blohm, S., Knoop, C., Muralikrishnan, R., Scharinger, M., Wagner, V., Thiele, D., Ghitza, O., Ding, N., Menninghaus,
W., & Poeppel, D. (2020). Neural harmonics reflect grammaticality.
bioRxiv - The Preprint Server for Biology, Preprint. Retrieved from http://biorxiv.org/content/early/2020/04/08/2020.04.08.031575.abstract.
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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,30(7), 1299-1305. doi:10.1016/j.cub.2020.01.059.
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Teng, X., & Poeppel, D. (2020). Theta and gamma bands encode acoustic dynamics
over wide-ranging timescales. Cerebral Cortex,30(4),
2600-2614. doi:10.1093/cercor/bhz263.
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Roeske, T. C., Larrouy-Maestri, P., Sakamoto, Y., & Poeppel, D. (2020). Listening
to birdsong reveals basic features of rate perception and aesthetic judgements. Proceedings of the
Royal Society of London. Series B: Biological Sciences (London),287(1923):
20193010. doi:10.1098/rspb.2019.3010.
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Gudi-Mindermann, H., Rimmele, J. M., Bruns, P., Kloosterman, N. A., Donner, T. H., Engel, A. K., & Röder, B. (2020).
Post-training load-related changes of auditory working memory: An EEG study. Frontiers in Human Neuroscience,14: 72. doi:10.3389/fnhum.2020.00072.
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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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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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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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Gross, J., & Poeppel, D. (2019). Neural oscillations and their role in speech and
language processing. In P. Hagoort (
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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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Poeppel, D. (2019). Key issues and future directions: Where have we been and where
are we going? In P. Hagoort (
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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
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