(submitted, under review)


  • [book chapter] van Wassenhove, V. (2022, September 16). Cognitive Neuroscience of Time: Nows, Timelines, and Chronologies.
  • [book chapter] Doelling, K. B., Herbst, S. K., Arnal, L. H., & van Wassenhove, V. (2022, September 21). Psychological and neuroscientific foundations of rhythms and timing.
  • Azizi, L., Polti, I., & van Wassenhove, V. (2021). Episodic timing: how spontaneous alpha clocks, retrospectively. | bioRxiv.
  • Herbst, S. K.*, Mangione, I.*, Kononowicz, T., & van Wassenhove, V. (2021). Abstracting time in memory. | PsyArXiv
  • Oliveira da Motta Sampaio, T & V van Wassenhove (2019) The Hidden Semantics of Time: to adore implicitly lasts longer than to bite. PsyArXiv


  • Kübel, S. L., Mudumba, R., Runyun, Ş. L., Chaumon, M., Srinivasan, N., van Wassenhove, V., & Balcı, F. (2022, April 26). Delay Discounting during Lockdown. Retrieved from



  • Polgári, P., Jovanovic, L., van Wassenhove, V., & Giersch, A. (2023). The processing of subthreshold visual temporal order is transitory and motivation-dependent. Scientific Reports13(1), 7699.
  • Balcı, F., Ünübol, H., Grondin, S., Sayar, G. H., van Wassenhove, V., & Wittmann, M. (2023). Dynamics of retrospective timing: A big data approach. Psychonomic Bulletin & Review, 1-8.
  • De Pra, Y., Catrambone, V., van Wassenhove, V., Moscatelli, A., Valenza, G., & Bianchi, M. (2023). Altering Time Perception in Virtual Reality through Multimodal Visual-tactile Kappa Effect. IEEE Transactions on Haptics.
  • Chalas, N., Omigie, D., Poeppel, D., & van Wassenhove, V. (2023). Hierarchically nested networks optimize the analysis of audiovisual speech. iScience, 106257.
  • Paulcan, S., Giersch, A., van Wassenhove, V., & Doyère, V. (2023). Temporal order processing in rats depends on the training protocol. Journal of Experimental Psychology: Animal Learning and Cognition, 49(1), 31.


  • Polti, I., Nau, M., Kaplan, R., van Wassenhove, V., & Doeller, C. F. (2022). Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing. elife11, e79027. | bioRxiv
  • Chaumon, M., Rioux, PA., Herbst, S.K. et al. (2022) The Blursday database as a resource to study subjective temporalities during COVID-19. Nat Hum Behav .
    preprint doi:10.21203/
    accompanying info: van Wassenhove, V., Balcı, F., Giersch, A., et al. (2021, December 4). Blursday. Retrieved from
  • Micillo, L., Rioux, P. A., Mendoza, E., Kübel, S. L., Cellini, N., Van Wassenhove, V., … & Mioni, G. (2022). Time Perspective predicts levels of Anxiety and Depression during the COVID-19 outbreak: A cross-cultural study. Plos one17(9), e0269396.| PsyArXiv
  • Pesnot Lerousseau, J., Parise, C.V., Ernst, M.O., van Wassenhove, V. (2022) Multisensory correlation computations in the human brain identified by a time-resolved encoding model. Nat Commun 13, 2489. | bioRxiv.
  • Pesnot Lerousseau, J. and Parise, C. and Ernst, MO. and van Wassenhove, V. (2022). Multisensory Correlation Detector. OpenNeuro. [Dataset] doi: doi:10.18112/openneuro.ds003922.v1.0.1
  • van Wassenhove, V. (2022). Temporal disorientations and distortions during isolation. Neuroscience & Biobehavioral Reviews, 104644. | pdf
  • Kononowicz, T. W., van Wassenhove, V., & Doyère, V. (2022). Rodents monitor their error in self-generated duration on a single trial basis. Proceedings of the National Academy of Sciences119(9), e2108850119. | HAL
  • Herbst, S. K., Stefanics, G., & Obleser, J. (2022). Endogenous modulation of delta phase by expectation – A replication of Stefanics et al., 2010. Cortex.
  • Niso, G., Krol, L. R., Combrisson, E., Dubarry, A. S., Elliott, M. A., François C., Brichard Y. H., Herbst, S. K., Jerbi, K., Kovic, V. , Lehongre, K., Luck, S. J., Mercier, M. , Mosher, J. C., Pavlov, Y. G., Puce, A., Schettino, A., Schön, A., Armstrong W. S., Somon, B., Šoškić, A, Styles, S. J., Tibon, R., Vilas, M. G., van Vliet, M & Chaumon, M. (2022). Good Scientific Practice in MEEG Research: Progress and Perspectives.  NeuroImage, 119056. | OSF preprint


  • Grabot, L., Kayser, C., & van Wassenhove, V. (2021). Postdiction: when temporal regularity drives space perception through pre-stimulus alpha oscillations. ENEURO.0030-21.2021; DOI: | bioRxiv
  • Schneider, D., Herbst, S.K., Klatt, L., & Wöstmann, M. (in press). Target Enhancement or Distractor Suppression? Functionally Distinct Alpha Oscillators form the Basis of Attention. European Journal of Neuroscience. DOI: 10.1111/ejn.15309 | PsyArxiv
  • Zilber, N., Ciuciu, P., Gramfort, A., Azizi, L., van Wassenhove, V. (2021). NeuroSpin hMT+ Localizer DATA (MEG & aMRI). OpenNeuro. [Dataset] doi: 0.18112/openneuro.ds003392.v1.0.4
  • Lizarazu, M., di Covella, L. S., van Wassenhove, V., Rivière, D., Mizzi, R., Lehongre, K., … & Ramus, F. (2021). Neural entrainment to speech and nonspeech in dyslexia: conceptual replication and extension of previous investigations. Cortex137, 160-178. DOI:
  • La Rocca, D., Wendt, H., van Wassenhove, V., Ciuciu, P., & Abry, P. (2021). Revisiting functional connectivity for infraslow scale-free brain dynamics using complex wavelets. Frontiers in Physiology11, 1651. DOI:


  • Herbst, S.K., Stefanics, G., Obleser, J., (2020) Endogenous modulation of delta phase by expectation – A replication attempt of Stefanics et al., 2010. Stage 1 Pre-registered Report, Cortex. | OSF
  • Pinho, A.L., Amadon, A., Gauthier, B. et al. Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping. Sci Data 7, 353 (2020). DOI:
  • Kononowicz, T. W., Sander, T., Van Rijn, H., & Van Wassenhove, V. (2020). Precision Timing with α–β Oscillatory Coupling: Stopwatch or Motor Control?. Journal of Cognitive Neuroscience32(9), 1624-1636. DOI:
  • Gauthier, B., Prabhu, P., Kotegar, K. A., & van Wassenhove, V. (2020). Hippocampal Contribution to Ordinal Psychological Time in the Human Brain. Journal of Cognitive Neuroscience, 1-15. DOI:
  • van Wassenhove, V., & Herbst, S. K. (2020). Jones, MR Time Will Tell: A Theory of Dynamic Attending.
  • La Rocca, D., Ciuciu, P., Engemann, D. A., & Van Wassenhove, V. (2020). Emergence of β and γ networks following multisensory training. NeuroImage206, 116313. DOI: | BioRxiv


  • Herbst, S.K. & J. Obleser (2019) Implicit temporal predictability biases slow oscillatory phase in auditory cortex and enhances pitch discrimination sensitivity. NeuroImage DOI: 10.1016/j.neuroimage.2019.116198BioRxiv
  • Recio, R. S., Cravo, A. M., de Camargo, R. Y., & van Wassenhove, V. (2019). Dissociating the sequential dependency of subjective temporal order from subjective simultaneity. Plos one14(10), e0223184. DOI:
  • Kononowicz, T. W., & Van Wassenhove, V. (2019). Evaluation of Self-generated Behavior: Untangling Metacognitive Readout and Error Detection. Journal of Cognitive Neuroscience, 1-17. DOI: BioRxiv
  • Fiedler, L., Wöstmann, M., Herbst, S. K., & Obleser, J. (2019). Late cortical tracking of ignored speech facilitates neural selectivity in acoustically challenging conditions. NeuroImage186, 33-42. DOI: 10.1016/j.neuroimage.2018.10.057
  • van Wassenhove V., Herbst S., Kononowicz T.W. (2019) Timing the Brain to Time the Mind: Critical Contributions of Time-Resolved Neuroimaging for Temporal Cognition. In: Supek S., Aine C. (eds) Magnetoencephalography. Springer, Cham.
  • Grabot, L., Kononowicz, T.W., Dupré La Tour, T., Gramfort, A., Doyere, V., van Wassenhove, V. (2019). Oscillatory multiplexing indexes precision. Journal of Neuroscience,  | BioRxiv 


  • Kononowicz, T.W., Roger, C., van Wassenhove, V. (2018) Temporal metacognition as the decoding of self-generated brain dynamics.  Cerebral Cortex.| bioRxiv
  • Herbst, SK, Fiedler, L, & Obleser, J (2018). Tracking temporal hazard in the human electroencephalogram using a forward encoding model. eNeuro 0017-18.2018.
  • Gauthier, B., Pestke, K., & van Wassenhove, V. (2018). Building the Arrow of Time… Over Time: A Sequence of Brain Activity Mapping Imagined Events in Time and Space. Cerebral Cortex. | bioRxiv
  • La Rocca, D., Zilber, N., Abry, P., van Wassenhove, V., Ciuciu, P. (2018) Self-similarity and multifractality in human brain activity: a wavelet-based analysis of scale-free brain dynamics. Journal of Neuroscience Methods, 309, 175-187; | bioRxiv
  • Polti, I., Martin, B., van Wassenhove (2018) The effect of attention and working memory on the estimation of elapsed time. Scientific Reports, 6690. Data and Supp Mat available @

  • Lambrechts, A., Falter-Wagner, C. M., & van Wassenhove, V. (2018). Diminished neural resources allocation to time processing in Autism Spectrum Disorders. NeuroImage: Clinical17, 124-136. doi: 10.1016/j.nicl.2017.09.023


  • Bekhti, Y., Gramfort, A., Zilber, N., & van Wassenhove, V. (2017). Decoding the categorization of visual motion with magnetoencephalography. bioRxiv
  • Dupré la Tour, T., Tallot, L., Grabot, L., Doyère, V., van Wassenhove, V., & Grenier, Y. (2017). Non-linear auto-regressive models for cross-frequency coupling in neural time series. PLoS Comput Biol13(12), e1005893.  doi: 10.1371/journal.pcbi.1005893 | bioRxiv
  • van Wassenhove, V. (2017) Defining moments for conscious time and moments. PsyCh Journal, 6(2):168-169. doi: 10.1002/pchj.166
  • Grabot, L., Kösem, A., Azizi, L., & van Wassenhove, V. (2017). Prestimulus Alpha Oscillations and the Temporal Sequencing of Audio-visual Events. Journal of Cognitive Neuroscience. 29(9):1566-1582. doi: 10.1162/jocn_a_01145
  • Wittmann, M. & van Wassenhove, V. (2017) Why Time Slows Down during an Accident. Front Young Minds. 5:32. doi: 10.3389/frym.2017.00032
  • van Wassenhove, V. (2017) Time consciousness in a computational mind/brain. Journal of Consciousness Studies, 24 (3-4), 177-202.
  • Grabot, L., & van Wassenhove, V. (2017). Time order as psychological bias. Psychological science, 28(5), 670-678. doi: 10.1177/0956797616689369
  • Martin, B., Wiener, M., van Wassenhove, V. (2017). A Bayesian perspective on accumulation in the magnitude system. Scientific Reports 7, 630. doi: 10.1038/s41598-017-00680-0  | bioRxiv 

Fast to slow accumulation:

Slow to Fast accumulation:


  • Gauthier, B., & van Wassenhove, V. (2016). Time Is Not Space: Core Computations and Domain-Specific Networks for Mental Travels. Journal of Neuroscience, 36(47), 11891-11903. doi: 10.1523/jneurosci.1400-16.2016
  • Kösem, A., & van Wassenhove, V. (2016). Distinct contributions of low-and high-frequency neural oscillations to speech comprehension. Language, Cognition and Neuroscience, 1-9. doi: 10.1080/23273798.2016.1238495
  • Kösem, A., Basirat, A., Azizi, L., & van Wassenhove, V. (2016). High-frequency neural activity predicts word parsing in ambiguous speech streams. Journal of Neurophysiology, 116(6), 2497-2512. doi: 10.1152/jn.00074.2016
  • Gauthier, B., & van Wassenhove, V. (2016). Cognitive mapping in mental time travel and mental space navigation. Cognition, 154, 55-68.  doi: 10.1016/j.cognition.2016.05.015
  • van Wassenhove, V. (2016). Temporal cognition and neural oscillations. Current Opinion in Behavioral Sciences, 8, 124-130. doi: 10.1002/pchj.166
  • Kononowicz, T. W., & van Wassenhove, V. (2016). In Search of Oscillatory Traces of the Internal Clock. Frontiers in Psychology, 7, 224.  doi: 10.3389/fpsyg.2016.00224


  • Martin, J. R., Kösem, A., & van Wassenhove, V. (2015). Hysteresis in Audiovisual Synchrony Perception. 10(3): e0119365. doi: 10.1371/journal.pone.0119365
  • van Wassenhove V, Lecoutre L. (2015) Duration estimation entails predicting when. Neuroimage, 106:272-83. doi: 10.1016/j.neuroimage.2014.11.005
  • van Wassenhove, V., & Grzeczkowski, L. (2015). Visual-induced expectations modulate auditory cortical responses. Frontiers in Neuroscience, 9, 11. doi: 10.3389/fnins.2015.00011.
  • Strauss, M., Sitt, J. D., King, J. R., Elbaz, M., Azizi, L., Buiatti, M., … & Dehaene, S. (2015). Disruption of hierarchical predictive coding during sleep. Proceedings of the National Academy of Sciences, 112(11), E1353-E1362.
  • Strauss, M., Sitt, J., King, J. R., Elbaz, M., Azizi, L., Buiatti, M., … & Dehaene, S. (2015). Atteinte des processus de prédiction mais conservation de l’adaptation sensorielle au cours du sommeil. Médecine du Sommeil, 12(1), 58.
  • Strauss, M., Sitt, J., King, J. R., Elbaz, M., Naccache, L., Van Wassenhove, V., & Dehaene, S. (2015). Atteinte des systèmes prédictifs dans le sommeil.Revue Neurologique, 171, A172.


  • Kösem A, Gramfort A, van Wassenhove V. (2014) Encoding of event timing in the phase of neural oscillations. Neuroimage, 92:274-84. doi:10.1016/j.neuroimage.2014.02.010
  • Zilber N, Ciuciu P, Gramfort A, Azizi L, van Wassenhove V. (2014) Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 1:32-46. doi: 10.1016/j.neuroimage.2014.02.017

    Experimental code here: DOI 10.17605/OSF.IO/T2SYC


  • Gross J, Baillet S, Barnes G, Henson R, Hillebrand A, Jensen O, Jerbi K, Litvak V, Maess B, Oostenveld R, Parkkonen L, Taylor J, van Wassenhove V, Wibral M, Schoffelen J-M (2013) Good practice for conducting and reporting MEG research. NeuroImage, 65, 349-363. doi: 10.1016/j.neuroimage.2012.10.001
  • van Wassenhove V (2013) Speech through ears and eyes: interfacing the senses with the supramodal brain. Front. Psychol. 4:388. doi: 10.3389/fpsyg.2013.00388
  • Lambrechts A, Walsh V, van Wassenhove (2013) Evidence accumulation in the magnitude system. PLoS ONE 8(12):e82122. doi: 10.1371/journal.pone.0082122
  • Martin B, Giersch A, Huron C, van Wassenhove V (2013) Temporal event structure and timing in schizophrenia: preserved binding in a longer “now”. NeuroPsychologia, 51, 358-371. doi: 10.1016/j.neuropsychologia.2012.07.002


  • van Wassenhove V & Schroeder CS (2012) Multisensory Role of Human Auditory Cortex in Poeppel D & Overath T, Popper, AN & Fay, RR (Eds) Springer Handbook of Auditory Research vol. 43, pp. 295-331.
  • van Wassenhove V, Ghazanfar A, Munhall & Schroeder CS (2012) Bridging the Gap between Human and Nonhuman Studies of Audiovisual Integration. In Stein B (Ed.) The New Handbook of Multisensory Processing, pp. 153-167.
  • van Wassenhove, V (2012) From the dynamic structure of the brain to the emergence of time experiences. Kronoscope, 12:2, 199-216. doi: 10.1163/15685241-12341241


  • Wacongne C, Labyt E, van Wassenhove V, Bekinschtein T, Naccache L, Dehaene S (2011). Evidence for a hierarchy of predictions and prediction errors in human cortex. Proc Natl Acad Sci 108: 20754-20759. doi: 10.1073/pnas.1117807108
  • van Wassenhove V, Wittmann M, Craig A and Paulus MP (2011) Psychological and neural mechanisms of subjective time dilation. Front. Neurosci. 5 (56). doi: 10.3389/fnins.2011.00056


  • Wittmann M, van Wassenhove V, Craig A and Paulus MP (2010) The neural substrates of subjective time dilation. Front. Hum. Neurosci. 4(2). doi:10.3389/neuro.09.002.2010


  • van Wassenhove V (2009) Minding time in an amodal representational space. Philos Trans R Soc Lond B Biol Sci. 364(1525):1815-30. doi: 10.1098/rstb.2009.0023
  • Wittmann M & van Wassenhove V (2009) The experience of time: neural mechanisms and the interplay of emotion, cognition and embodiement. Philos Trans R Soc Lond B Biol Sci. 364(1525):1809-13. doi: 10.1098/rstb.2009.0025
Time research has been a neglected topic in the cognitive neurosciences of the last decades: how do humans perceive time? How and where in the brain is time processed? This introductory paper provides an overview of the empirical and theoretical papers on the psychological and neural basis of time perception collected in this theme issue. Contributors from the fields of cognitive psychology, psychiatry, neurology and neuroanatomy tackle this complex question with a variety of techniques ranging from psychophysical and behavioural experiments to pharmacological interventions and functional neuroimaging. Several (and some new) models of how and where in the brain time is processed are presented in this unique collection of recent research that covers experienced time intervals from milliseconds to minutes. We hope this volume to be conducive in developing a better understanding of the sense of time as part of complex set of brain–body factors that include cognitive, emotional and body states.
  • Poeppel D, Idsardi W J, van Wassenhove, V (2009) Speech perception at the interface of neurobiology and linguistics. In Brian CJ Moore, Lorraine K Tyler and William D Marslen-Wilson (Eds) The Perception of Speech: From sound to meaning. Oxford: Oxford University Press. 249 – 274.


  • Poeppel D, Idsardi W, van Wassenhove V (2008) Speech perception at the interface of neuroscience and linguistics. Philos Trans R Soc Lond B Biol Sci , 363(1493):1071-86. doi: 10.1098/rstb.2007.2160
  • van Wassenhove V, Buonomano D, Shimojo S, Shams L (2008) Distortions of subjective time perception within and across senses. PLoS ONE 3(1): e1437. doi: 10.1371/journal.pone.0001437


  • Seitz A, Kim R, van Wassenhove V, Shams L (2007) Simultaneous and independent acquisition of multisensory and unisensory associations. Perception 36(10): 1445 – 1453. doi: 10.1068/p5843
  • Skipper J, van Wassenhove V, Nusbaum HC, Small S (2007) Hearing lips and seeing voices: how cortical areas supporting speech production mediate audiovisual speech perception. Cerebral Cortex 17(10): 2387-99. doi: 10.1093/cercor/bhl147
  • van Wassenhove V, Grant KW, Poeppel D(2007) Temporal window of integration in bimodal speech. Neuropsychologia, 45 (3): 598-607.  doi:  10.1016/j.neuropsychologia.2006.01.001
  • van Wassenhove V, Nagarajan SS (2007) Auditory-cortical plasticity in learning to discriminate modulation rate. Journal of Neuroscience 27 (10): 2663-2672. doi: 10.1523/JNEUROSCI.4844-06.2007


  • Schorr, E., Foxe, N., van Wassenhove V, Knudsen, E. (2005) Audio-visual fusion in speech perception in children with cochlear implants. Proceedings of the National Academy of Science, 102 (51): 18748-18750. doi: 10.1073/pnas.0508862102
  • van Wassenhove V, Grant KW, Poeppel D (2005) Visual speech speeds up the neural processing of auditory speech. Proceedings of the National Academy of Science, 102 (4): 1181-1186. doi: 10.1073/pnas.0408949102


  • Lakshminarayan K, Ben Shalom D, van Wassenhove V, Orbelo D, Houde J, Poeppel D (2001) The effect of spectral manipulations on the identification of affective and linguistic prosody. Brain and Language 84: 250-263. doi:10.1016/S0093-934X(02)00516-3