Probing Attentive and Preattentive Emergent Meter in Adult Listeners without Extensive Music Training
Open accessAbstract
BEAT AND METER INDUCTION ARE CONSIDERED important structuring mechanisms underlying the perception of rhythm. Meter comprises two or more levels of hierarchically ordered regular beats with different periodicities. When listening to music, adult listeners weight events within a measure in a hierarchical manner. We tested if listeners without advanced music training form such hierarchical representations for a rhythmical sound sequence under different attention conditions (Attend, Unattend, and Passive). Participants detected occasional weakly and strongly syncopated rhythmic patterns within the context of a strictly metrical rhythmical sound sequence. Detection performance was better and faster when syncopation occurred in a metrically strong as compared to a metrically weaker position. Compatible electrophysiological differences (earlier and higher-amplitude MMN responses) were obtained when participants did not attend the rhythmical sound sequences. These data indicate that hierarchical representations for rhythmical sound sequences are formed preattentively in the human auditory system.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Having induced a rhythm makes violations of rhythm easier to detect.
“A bene fi t of having induced the rhythm is that violations of rhythm are easier to detect (Ladinig et al. 2009).”
From Whatever next? Predictive brains, situated agents, and the future of cognitive science (2013) · cites this paper as Ladinig et al. 2009
Cites
Temporal window of integration revealed by MMN to sound omission.
Yabe, H., Tervaniemi, M., Reinikainen, K., & Näätänen, R. (1997) · NeuroReport · doi:10.1097/00001756-199705260-00035 · Cited by 313 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · see citing works
Newborn infants detect the beat in music
Winkler, I., Háden, G., Ladinig, O., Sziller, I., & Honing, H. (2009) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0809035106 · Cited by 719 · see citing works
Self-citationNäätänen, R., Kujala, T., & Winkler, I. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2010.01114.x · Cited by 536 · see citing works
Self-citationAdams, J. (2020) · Transport Planning · doi:10.4135/9781412983686.n2 · Cited by 466
Without it no music: beat induction as a fundamental musical trait
Honing, H. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06402.x · Cited by 455 · see citing works
Self-citationRhythmic cognition in humans and animals: distinguishing meter and pulse perception
Fitch, W. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00068 · Cited by 418 · see citing works
“In an innovative experimental design exploiting these facts, Honing and colleagues constructed musical rhythms that were either consistent with or violated a simple 4:4 metrical structure, played using standard drum sounds (Ladinig et al., 2009; Honing, 2012).”
BackgroundInfluentialVuust, P., & Witek, M. A. G. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01111 · Cited by 298 · see citing works
“…(Witek et al., in press), one cannot define meter without acknowledging at least some degree of hierarchy (e.g., between the whole-note level and the subsequent levels, as evidenced by the increased metric salience of the downbeat, Ladinig et al., 2009; Song et al., 2013; Witek et al., in press).”
BackgroundInfluentialSyncopation, Body-Movement and Pleasure in Groove Music
Witek, M. A. G., Clarke, E., Wallentin, M., Kringelbach, M., & Vuust, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094446 · Cited by 360 · see citing works
Winkler, I., & Czigler, I. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.10.001 · Cited by 249 · see citing works
Self-citationRhesus Monkeys (Macaca mulatta) Detect Rhythmic Groups in Music, but Not the Beat
Honing, H., Merchant, H., Háden, G., Prado, L., & Bartolo, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051369 · Cited by 316 · see citing works
Self-citationNeural Mechanisms of Rhythm Perception: Current Findings and Future Perspectives
Grahn, J. A. (2012) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2012.01213.x · Cited by 265 · see citing works
Egermann, H., Pearce, M., Wiggins, G. A., & McAdams, S. (2013) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-013-0161-y · Cited by 248 · see citing works
Structure and Interpretation of Rhythm in Music
Honing, H. (2013) · doi:10.1016/b978-0-12-381460-9.00009-2 · Cited by 222
Self-citationBendixen, A., Schroger, E., & Winkler, I. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1493-09.2009 · Cited by 218 · see citing works
“Difference amplitudes were additionally influenced by the electrode factor (F(2,26) 3.432, p 0.05, 2 0.209) (due to more negative amplitudes at Fz than at F3, p 0.05), but no interaction of condition with electrode was obtained (F(4,52) 0.645, p 0.633).”
BackgroundInfluentialSelf-citationHoning, H., Bouwer, F., Prado, L., & Merchant, H. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00475 · Cited by 212 · see citing works
Self-citationMusicians and the Metric Structure of Words
Marie, C., Magne, C., & Besson, M. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21413 · Cited by 185 · see citing works
Neural Entrainment to the Rhythmic Structure of Music
Tierney, A., & Kraus, N. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00704 · Cited by 180
Beat Processing Is Pre-Attentive for Metrically Simple Rhythms with Clear Accents: An ERP Study
Bouwer, F., van Zuijen, T. V., & Honing, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097467 · Cited by 176 · see citing works
“We presented participants with a continuous stream of varying rhythm designed to induce a regular beat in a music-like way (for studies using a similar paradigm, see [12,15,27]).”
BackgroundMethodResultInfluentialSelf-citationSchaefer, R., Vlek, R., & Desain, P. (2010) · Psychological Research · doi:10.1007/s00426-010-0293-4 · Cited by 164 · see citing works
“This has been shown for the P300 oddball response using intensity decrements on diVerent positions in an isochronous stimulus pattern (Brochard, Abecasis, Potter, Ragot, & Drake, 2003), and for the mismatch negativity (MMN) response to syncopations in diVerent positions ( Ladinig, Honing, Haden, & Winkler, 2009 ).”
MethodMusic training for the development of reading skills.
Tierney, A., & Kraus, N. (2013) · Progress in Brain Research · doi:10.1016/b978-0-444-63327-9.00008-4 · Cited by 158 · see citing works
Refinement of metre perception – training increases hierarchical metre processing
Geiser, E., Sandmann, P., Jäncke, L., & Meyer, M. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07462.x · Cited by 154 · see citing works
“component is particularly apt for testing metrical expectancy (Honing et al., 2009; Ladinig et al., 2009; Winkler et al., 2009).”
BackgroundBouwer, F. L., Werner, C. M., Knetemann, M., & Honing, H. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.02.018 · Cited by 71 · see citing works
“Thus, one can argue that sequential learning rather than beat perception may have in fl uenced responses to rhythms in previous studies (e.g., Bouwer et al., 2014; Ladinig et al., 2009; Vuust et al., 2005, 2009; Winkler et al., 2009).”
Self-citationNeural responses to sounds presented on and off the beat of ecologically valid music
Tierney, A., & Kraus, N. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00014 · Cited by 151
“…example, elicit enhanced responses to deviances (Brochard et al., 2003; Abecasis et al., 2005; Pablos Martin et al., 2007; Geiser et al., 2009, 2010; Ladinig et al., 2009; Potter et al., 2009; Winkler et al., 2009), oscillatory responses (Snyder and Large, 2005; Iversen et al., 2009), and N1 and…”
BackgroundNow you hear it: a predictive coding model for understanding rhythmic incongruity
Vuust, P., Dietz, M., Witek, M. A. G., & Kringelbach, M. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13622 · Cited by 122 · see citing works
Influence of Musical Enculturation on Brain Responses to Metric Deviants
Haumann, N. T., Vuust, P., Bertelsen, F., & Garza-Villarreal, E. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00218 · Cited by 111 · see citing works
“…through passive exposure to music, so-called “schematic expectations,” which both musicians and non-musicians are able to perceive equally well (cf. Ladinig et al., 2009), whereas other musical deviants could be perceived as performance errors, or violation of veridical expectations, which…”
BackgroundMotor and Predictive Processes in Auditory Beat and Rhythm Perception
Proksch, S., Comstock, D. C., Médé, B., Pabst, A., & Balasubramaniam, R. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.578546 · Cited by 102 · see citing works
Bouwer, F., & Honing, H. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01094 · Cited by 101 · see citing works
“In addition, a perceived metrical structure causes sound events to be more expected at metrically strong positions than at metrically weak positions (Ladinig et al., 2009).”
BackgroundSelf-citationHoning, H., Bouwer, F., & Háden, G. (2014) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4939-1782-2_16 · Cited by 101 · see citing works
“Also, studies to date have all used slightly different stimuli and tasks, which in some cases results in radically different or even contradicting conclusions [23, 66, 93].”
BackgroundResultSelf-citationAuditory perceptual objects as generative models: Setting the stage for communication by sound
Winkler, I., & Schröger, E. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.05.003 · Cited by 99 · see citing works
Self-citationWhat can we learn about beat perception by comparing brain signals and stimulus envelopes?
Henry, M. J., Herrmann, B., & Grahn, J. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172454 · Cited by 43 · see citing works
Formal Functions of Metric Dissonance in Rock Music
Biamonte, N. (2014) · doi:10.30535/mto.20.2.1 · Cited by 77
Filling In: Syncopation, Pleasure and Distributed Embodiment in Groove
Witek, M. A. G. (2017) · Music Analysis · doi:10.1111/musa.12082 · Cited by 76 · see citing works
Háden, G., Bouwer, F., Honing, H., & Winkler, I. (2023) · bioRxiv · doi:10.1101/2022.12.20.521245 · Cited by 75
Self-citationSimilarity and Families of Musical Rhythms
Cao, E., Lotstein, M., & Johnson-Laird, P. (2014) · doi:10.1525/mp.2014.31.5.444 · Cited by 71
Syncopation affects free body-movement in musical groove
Witek, M. A. G., Popescu, T., Clarke, E., Hansen, M., Konvalinka, I., Kringelbach, M., & Vuust, P. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4855-6 · Cited by 69 · see citing works
Escoffier, N., Herrmann, C., & Schirmer, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.024 · Cited by 63 · see citing works
“This, combined with the fact that auditory, but not visual, rhythms can be processed pre-attentively and without awareness (Atienza and Cantero, 2001; Ladinig et al., 2009; Winkler et al., 2009) led us to expect the auditory rhythm to trump the visual rhythm in driving visual rhythmic expectations in the crossmodal co…”
Edalati, M., Mahmoudzadeh, M., Safaie, J., Wallois, F., & Moghimi, S. (2020) · Psychophysiology · doi:10.1111/psyp.13909 · Cited by 56 · see citing works
“This strategy has been employed previously (Ladinig et al., 2009; Winkler et al., 2009), and assumes that repetitive representation of the standard stimuli after the control block resets the experiment conditi on from the one of the control blocks to that of the main experiment.”
MethodShared processing of perception and imagery of music in decomposed EEG
Schaefer, R., Desain, P., & Farquhar, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.064 · Cited by 56 · see citing works
“To give an impression of the data before decomposition, three midline channel ERPs of the concatenated stimuli (their beginningsmarked by a dotted line) during perception and imagery are shown for each data set in Fig.”
InfluentialHoning, H., Ladinig, O., Háden, G. P., & Winkler, I. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04761.x · Cited by 54 · see citing works
Self-citationSubjective Metric Organization Directs the Allocation of Attention across Time
Fitzroy, A. B., & Sanders, L. D. (2020) · Auditory Perception & Cognition · doi:10.1080/25742442.2021.1898924 · Cited by 54 · see citing works
Structural meter perception is pre-attentive.
Silva, S., & Castro, S. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107184 · Cited by 50 · see citing works
Pitch structure, but not selective attention, affects accent weightings in metrical grouping.
Prince, J. B. (2014) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/a0037730 · Cited by 44
Flaten, E., Marshall, S. A., Dittrich, A., & Trainor, L. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15671 · Cited by 31 · see citing works
“This can be done through imagination (Nozaradan et al., 2011), being primed through accents (Bouwer et al., 2014; Ladinig et al., 2009; Repp, 2010; Schaefer et al., 2011) or moving on every second versus every third beat, for example (Chemin et al., 2014; Phillips-Silver & Trainor, 2007, 2008).”
BackgroundNeural processing of musical meter in musicians and non‐musicians
Zhao, C., Lam, G. H. T., Sohi, H., & Kuhl, P. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.10.007 · Cited by 30 · see citing works
“By violating a meter structure at metrically strong and weak positions, non-musicians’ MMNs were observed to be earlier when violations occurred at strong metrical positions compared to weak positions, even without attention (Ladinig et al., 2009, 2011).”
BackgroundPupillary response indexes the metrical hierarchy of unattended rhythmic violations
Damsma, A., & van Rijn, H. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.10.004 · Cited by 39 · see citing works
“In line with Ladinig et al. (2009) and Bouwer et al. (2014), our study shows that violations of the beat can be perceived without paying explicit attention to the rhythmic patterns.”
BackgroundMethodResultInfluentialThe Mismatch Negativity: An Indicator of Perception of Regularities in Music
Yu, X.-D., Liu, T., & Gao, D. (2015) · Behavioural Neurology · doi:10.1155/2015/469508 · Cited by 30 · see citing works
Classifying EEG Recordings of Rhythm Perception
Stober, S., Cameron, D., & Grahn, J. A. (2014) · International Society for Music Information Retrieval Conference · doi:10.5072/zenodo.243858 · Cited by 29 · see citing works
“…to perturbations of the rhythmic pat-15th International Society for Music Information Retrieval Conference (ISMIR 2014) tern vs. the metrical structure in rhythmic sequences [7], and to suggest that similar responses persist even when attention is diverted away from the rhythmic stimulus [12].”
BackgroundThe role of attention and intention in synchronization to music: effects on gait
Leow, L., Waclawik, K., & Grahn, J. A. (2017) · Experimental Brain Research · doi:10.1007/s00221-017-5110-5 · Cited by 29 · see citing works
Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A., Adzei, S., & Vuust, P. (2020) · Music Perception · doi:10.1525/mp.2020.37.4.278 · Cited by 27 · see citing works
The effects of rhythm and melody on auditory stream segregation.
Szalárdy, O., Bendixen, A., Bohm, T., Davies, L. A., Denham, S., & Winkler, I. (2014) · Journal of the Acoustical Society of America · doi:10.1121/1.4865196 · Cited by 27
“A number of previous studies have shown that the auditory system detects rhythmic violations (see e.g., Geiser et al., 2009) even when the violations are not task-relevant (Ladinig et al., 2009).”
ResultSelf-citationNeural underpinnings of music: the polyrhythmic brain.
Vuust, P., Gebauer, L., & Witek, M. A. G. (2014) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4939-1782-2_18 · Cited by 27 · see citing works
The illiterate listener: on music cognition, musicality and methodology
Honing, H. (2011) · doi:10.26530/oapen_480090 · Cited by 25
Self-citationSkaansar, J. F., Laeng, B., & Danielsen, A. (2019) · Music Perception · doi:10.1525/mp.2019.37.2.111 · Cited by 24 · see citing works
The Developmental Origins of the Perception and Production of Musical Rhythm
Hannon, E., Nave-Blodgett, J., & Nave, K. M. (2018) · doi:10.1111/cdep.12285 · Cited by 24
Language and Music in the Musician Brain
Besson, M., Chobert, J., & Marie, C. (2011) · Language and Linguistics Compass · doi:10.1111/j.1749-818x.2011.00302.x · Cited by 24 · see citing works
Daikoku, T., & Yumoto, M. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107553 · Cited by 27 · see citing works
Musical training modulates the early but not the late stage of rhythmic syntactic processing.
Sun, L.-J., Liu, F., Zhou, L.-S., & Jiang, C.-M. (2018) · Psychophysiology · doi:10.1111/psyp.12983 · Cited by 20
“In addition, this ERAN component was different from the MMN component as exhibited in previous studies (Bouwer et al., 2014; Geiser et al., 2009; Ladinig et al., 2009; Vuust et al., 2009).”
Cortical Activity during Perception of Musical Rhythm; Comparing Musicians and Non-musicians
Habibi, A., Wirantana, V., & Starr, A. (2014) · Psychomusicology · doi:10.1037/pmu0000046 · Cited by 19 · see citing works
The cognitive resource and foreknowledge dependence of auditory perceptual inference
Frost, J. D., Haasnoot, K., Mcdonnell, K., Winkler, I., & Todd, J. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.07.005 · Cited by 16 · see citing works
“…present study concerns learning influences over very long time courses, even exceeding those that are consistent with the idea that rules more global than those based on stimulus transitions can indeed modulate the MMN response (Bouwer et al., 2016; Ladinig et al., 2009; Sussman and Winkler, 2001).”
BackgroundSelf-citationThe development of rhythmic categories as revealed through an iterative production task.
Nave, K. M., Carrillo, C., Jacoby, N., Trainor, L., & Hannon, E. (2021) · Cognition · doi:10.31234/osf.io/wvb9k · Cited by 15
Park, H., & Chong, H. (2019) · Psychology of Music · doi:10.1177/0305735617745148 · Cited by 15 · see citing works
Nguyen, T. T. N., Gibbings, A., & Grahn, J. A. (2018) · doi:10.1007/978-3-662-55004-5_27 · Cited by 15
Daikoku, T., Takahashi, Y. K., Tarumoto, N., & Yasuda, H. (2017) · Motor Control · doi:10.1123/mc.2017-0006 · Cited by 13 · see citing works
“Previous studies showed that rhythm perceptions are related to statistical learning (Bouwer et al., 2016; Ladinig et al.,2009; Vuust et al., 2009; Winkler et al.,2009) and motor functions (Fujioka et al., D ow nl oa de d by G ri ff ith U ni ve rs ity L ib ra ry o n 09 /0 6/ 17 , V ol um e 0, A rt…”
BackgroundResultSource analysis of electrophysiological correlates of beat induction as sensory-guided action
Todd, N. M. M., & Lee, C. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01178 · Cited by 13 · see citing works
Mapping the Dynamic Allocation of Temporal Attention in Musical Patterns
Hurley, B. K., Fink, L. K., & Janata, P. (2018) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/xhp0000563 · Cited by 11 · see citing works
Lenc, T., Keller, P., Varlet, M., & Nozaradan, S. (2020) · bioRxiv · doi:10.1101/2020.09.23.309443 · Cited by 9 · see citing works
“Moreover, typical MMN studies employ passive listening with low cognitive load and no control of participant’s attentional focus (Sussman et al., 2014), whereas we directly manipulated the attentional state of the listener with active demanding tasks that significantly affected the overall magnitude of the EEG respons…”
BackgroundResultInfluentialDamsma, A., de Roo, M., Doelling, K. B., Bazin, P., & Bouwer, F. (2025) · bioRxiv · doi:10.1093/cercor/bhaf258 · Cited by 7 · see citing works
“…or oscillatory activity, these results indicate that the cortex passively tracks rhythmic sequences, in line with previous studies showing that task relevance is not necessary in forming temporal expectations (Ladinig et al. 2009; Bouwer et al. 2014; Damsma and van Rijn 2017; Bouwer et al. 2020).”
Sadaphal, D., Blum, C., Keller, P. E., & Fitch, W. T. (2025) · Royal Society Open Science · doi:10.1098/rsos.241501 · Cited by 7 · see citing works
Neural Responses to Musical Rhythm in Chinese Children With Reading Difficulties
Chiang, C.-H., Hämäläinen, J., Xu, W.-Y., & Wang, H. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01013 · Cited by 7 · see citing works
“Furthermore, another study that used similar experimental stimuli also indicated that the beat rhythms of real music could lead to stronger effects (earlier and larger amplitude) of metrically rhythmic processing even in healthy adults without any long-term musical training (Ladinig et al., 2009).”
ResultAttention modulates neural measures associated with beat perception
Gibbings, A., Henry, M. J., Cruse, D., Stojanoski, B., & Grahn, J. A. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15962 · Cited by 5 · see citing works
“Critically, this on- versus off-beat difference in MMN responses has been shown to be of similar magnitude when listeners are paying attention to the auditory rhythm as when they are distracted by a silent subtitled movie (Bouwer et al., 2014, 2016; Ladinig et al., 2009).”
BackgroundLanguage experience shapes predictive coding of rhythmic sound sequences
Morucci, P., Nara, S., Lizarazu, M., Martin, C. D., & Molinaro, N. (2024) · bioRxiv · doi:10.7554/elife.91636 · Cited by 4 · see citing works
“…of the first element rather than the second element of a perceptual chunk (‘long’ for the Basque, ‘short’ for the Spanish group) is primarily based on previous work on rhythm and music perception (e.g., Ladinig et al., 2009 ; Bouwer et al., 2016 ; Brochard et al., 2003 ; Potter et al., 2009 ).”
BackgroundKondoh, S., Okanoya, K., & Tachibana, R. O. (2020) · PLoS ONE · doi:10.1371/journal.pone.0256712 · Cited by 4
Wen, O. X., & Krumhansl, C. (2019) · Music & Science · doi:10.1177/2059204319873308 · Cited by 4
Stober, S., Cameron, D., & Grahn, J. A. (2014) · Audio Mostly Conference · doi:10.1145/2636879.2636904 · Cited by 4 · see citing works
“B 1 [1, 1]x49 [28, 32] [8, 12] 2 [1, 38]x1 [1, 20] [1, 10] [10−5, 0.”
BackgroundCecchetti, G., Tomasini, C. A., Herff, S. A., & Rohrmeier, M. (2023) · Cognitive Science · doi:10.1111/cogs.13389 · Cited by 5 · see citing works
Whenever next: hierarchical timing of perception and action.
Holm, L., & Madison, G. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12002336 · Cited by 3 · see citing works
Polyrhythms in the Brain: Metrical Priming, Acoustic Balance, and Perceptual Biases
Møller, C., Celma-Miralles, A., Borges, H. B., Stupacher, J., Christensen, C. B., Vuust, P., & Kidmose, P. (2026) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.70290 · Cited by 2
Flaten, E., Carrillo, C., & Trainor, L. (2026) · Psychophysiology · doi:10.1111/psyp.70230 · Cited by 2 · see citing works
“…neural tracking, we did not have strong predictions about how active attention to the meter would impact MMN and P3a, given previous null effects of attention in modulating the processing of deviants on strong and weak beats (Bouwer et al. 2016, 2020; Bouwer and Honing 2015; Ladinig et al. 2009).”
InfluentialSyncopation as structure bootstrapping: the role of asymmetry in rhythm and language
Fiorin, G., & Delfitto, D. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1304485 · Cited by 2 · see citing works
Invariance of edit-distance to tempo in rhythm similarity
Moritz, M., Heard, M., Kim, H.-W., & Lee, Y.-N.-S. (2020) · Psychology of Music · doi:10.1177/0305735620971030 · Cited by 2 · see citing works
Identification of Cortices with Characteristics of Rhythmic Entrainment and Its Periodicity
Shin, Y.-M., Kwon, J., Kim, J., & Chung, C.-K. (2025) · Experimental Neurobiology · doi:10.5607/en25028 · Cited by 1
“Although several studies have reported that mismatch negativity (MMN) can occur in the context of rhythmic stimulation and reflect sensitivity to stimulus regularity, it is not a reliable marker of entrainment [15-19].”
Effects of Metrical Context on the P1 Component
Lee, K. M., Kang, S., Hong, S. H., & Moon, I. (2024) · Journal of Audiology & Otology · doi:10.7874/jao.2023.00262 · Cited by 1
“Studies on MMN have shown that MMN responses to deviants are earlier and higher at metrically strong positions compared to weak positions [17].”
BackgroundFærøvik, U., Specht, K., & Vikene, K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.674050 · Cited by 1 · see citing works
Effects of metrical dissonance and expertise on perceived emotion in Schumann’s Carnaval
Sommer, J., Simmons, K., & Tan, D. (2021) · Music & Science · doi:10.1177/1029864919836708 · Cited by 1
Winkler, I. (2015) · Magyar Pszichológiai Szemle · doi:10.1556/0016.2015.70.4.1 · Cited by 1 · see citing works
Self-citationCritical Review on the Development and Evolution of Beat Perception
Háden, G., & Honing, H. (2026) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.70386
“Using closely matched auditory oddball paradigms, Ladinig et al. [ 148 ], Winkler et al. [ 12 ], and Honing et al. [ 45 ] systematically probed rhythm and meter processing in human adults, human newborns, and rhesus monkeys (respectively) with variants of the same metrical rhythmic pattern.”
Self-citationBrattico, E., Lorusso, G., Carlomagno, F., & Carraturo, G. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70662
“Ladinig et al. (2009) further investigated whether adults without extensive musical training automatically form hierarchical representations of musical meter.”
Honing, H. (2021) · Music Cognition · doi:10.4324/9781351297363-2
Self-citationDynamic EEG Signature of Groove
Ono, K., Yamamoto, K., & Sasaoka, T. (2026) · Music Perception: An Interdisciplinary Journal · doi:10.1525/mp.2026.2718338
Perceiving Hierarchical Musical Structure in Auditory and Visual Modalities
Nave-Blodgett, J. (2016) · doi:10.34917/9302957
“Matching metronomes to musical stimuli (Hannon et al., 2004) or detecting irregularities or disruptions to a rhythmic sequence (Geiser, Sandmann, Jäncke, & Meyer, 2010; Geiser, Ziegler, Jäncke, & Meyer, 2009; Ladinig et al., 2009) only gives us information about one level of meter.”
Background
- Authors
- Ladinig, O., Honing, H., Háden, G., & Winkler, I.
- Affiliations
- University of Amsterdam (NL)
- Hungarian Academy of Sciences (HU)
- University of Szeged (HU)
- Venue
- Music Perception
- Publisher
- University of California Press
- Published
- 2009-04-01
- Volume
- 26
- Issue
- 4
- Pages
- 377-386
- ISSN
- 0730-7829 (ISSN-L)
- 1533-8312
- OpenAlex
- W2139276121
- Cited by
- 111
- References
- 0
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 10 · 2019: 4 · 2018: 7 · 2017: 6 · 2016: 6 · 2015: 6 · 2014: 15 · 2013: 10 · 2012: 7
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Music Perception An Interdisciplinary Journal (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Sensory Systems › Hearing, Cochlea, Tinnitus, Genetics
- Keywords
- beat induction, preattentive processing, musical training, mismatch negativity, sound event detection, rhythm perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
