Abdi, H., Valentin, D., O’Toole, A. J., & Edelman, B. (2005). Distatis: The analysis of multiple distance matrices. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2005-September. https://doi.org/10.1109/CVPR.2005.445
Bueti, D., & Macaluso, E. (2010). Auditory temporal expectations modulate activity in visual cortex. NeuroImage, 51(3), 1168–1183. https://doi.org/10.1016/j.neuroimage.2010.03.023
Bueti, D., Walsh, V., Frith, C., & Rees, G. (2008). Different brain circuits underlie motor and perceptual representations of temporal intervals. Journal of Cognitive Neuroscience, 20(2), 204–214. https://doi.org/10.1162/jocn.2008.20017
Chang, C. C., & Lin, C. J. (2011). LIBSVM: A Library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2(3), 1–27. https://doi.org/10.1145/1961189.1961199
Coull, J. T., Charras, P., Donadieu, M., Droit-Volet, S., & Vidal, F. (2015). Sma selectively codes the active accumulation of temporal, not spatial, magnitude. Journal of Cognitive Neuroscience, 27(11), 2281–2298. https://doi.org/10.1162/jocn_a_00854
Coull, J. T., Nazarian, B., & Vidal, F. (2008). Timing, storage, and comparison of stimulus duration engage discrete anatomical components of a perceptual timing network. Journal of Cognitive Neuroscience, 20(12), 2185–2197. https://doi.org/10.1162/jocn.2008.20153
Damsma, A., Schlichting, N., & van Rijn, H. (2021). Temporal context actively shapes EEG signatures of time perception. Journal of Neuroscience, 41(20), 4514–4523. https://doi.org/10.1523/JNEUROSCI.0628-20.2021
Derdikman, D., & Moser, E. I. (2010). A manifold of spatial maps in the brain. In Trends in Cognitive Sciences (Vol. 14, Issue 12, pp. 561–569). Trends Cogn Sci. https://doi.org/10.1016/j.tics.2010.09.004
Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010). Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. NeuroImage, 53(1), 1–15. https://doi.org/10.1016/j.neuroimage.2010.06.010
Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005). A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. NeuroImage, 25(4), 1325–1335. https://doi.org/10.1016/j.neuroimage.2004.12.034
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., Montillo, A., Makris, N., Rosen, B., & Dale, A. M. (2002). Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron, 33(3), 341–355. https://doi.org/10.1016/S0896-6273(02)00569-X
Friston, K. J., Glaser, D. E., Henson, R. N. A., Kiebel, S., Phillips, C., & Ashburner, J. (2002). Classical and Bayesian inference in neuroimaging: Applications. NeuroImage, 16(2), 484–512. https://doi.org/10.1006/nimg.2002.1091
Glasauer, S., & Shi, Z. (2021). The origin of Vierordt’s law: The experimental protocol matters. PsyCh Journal, 10(5), 732–741. https://doi.org/10.1002/pchj.464
Gouvêa, T. S., Monteiro, T., Motiwala, A., Soares, S., Machens, C., & Paton, J. J. (2015). Striatal dynamics explain duration judgments. ELife, 4(December2015). https://doi.org/10.7554/eLife.11386
Harvey, B. M., Dumoulin, S. O., Fracasso, A., & Paul, J. M. (2020). A Network of Topographic Maps in Human Association Cortex Hierarchically Transforms Visual Timing-Selective Responses. Current Biology, 30(8), 1424-1434.e6. https://doi.org/10.1016/j.cub.2020.01.090
Hayashi, M. J., Ditye, T., Harada, T., Hashiguchi, M., Sadato, N., Carlson, S., Walsh, V., & Kanai, R. (2015). Time Adaptation Shows Duration Selectivity in the Human Parietal Cortex. PLOS Biology, 13(9), e1002262. https://doi.org/10.1371/journal.pbio.1002262
Hayashi, M. J., van der Zwaag, W., Bueti, D., & Kanai, R. (2018). Representations of time in human frontoparietal cortex. Communications Biology, 1(1), 1–10. https://doi.org/10.1038/s42003-018-0243-z
Hendrikx, E., Paul, J. M., van Ackooij, M., van der Stoep, N., & Harvey, B. M. (2022). Visual timing-tuned responses in human association cortices and response dynamics in early visual cortex. Nature Communications, 13(1), 3952. https://doi.org/10.1038/s41467-022-31675-9
Jazayeri, M., & Shadlen, M. N. (2010). Temporal context calibrates interval timing. Nature Neuroscience, 13(8), 1020–1026. https://doi.org/10.1038/nn.2590
Kleiner, M., Brainard, D. H., Pelli, D. G., Broussard, C., Wolf, T., & Niehorster, D. (2007). What’s new in Psychtoolbox-3? Perception, 36.
Kohn, A., & Movshon, J. A. (2004). Adaptation changes the direction tuning of macaque MT neurons. Nature Neuroscience, 7(7), 764–772. https://doi.org/10.1038/nn1267
Kriegeskorte, N. (2008). Representational similarity analysis – connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2(NOV), 4. https://doi.org/10.3389/neuro.06.004.2008
Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10), 3863–3868. https://doi.org/10.1073/pnas.0600244103
Lejeune, H., & Wearden, J. H. (2009). Vierordt’s the Experimental Study of the Time Sense (1868) and its legacy. In European Journal of Cognitive Psychology (Vol. 21, Issue 6, pp. 941–960). Taylor & Francis Group . https://doi.org/10.1080/09541440802453006
Lewis, P. A., & Miall, R. C. (2003). Brain activation patterns during measurement of sub- and supra-second intervals. Neuropsychologia, 41(12), 1583–1592. https://doi.org/10.1016/S0028-3932(03)00118-0
Maaß, S. C., Schlichting, N., & van Rijn, H. (2019). Eliciting contextual temporal calibration: The effect of bottom-up and top-down information in reproduction tasks. Acta Psychologica, 199, 102898. https://doi.org/10.1016/j.actpsy.2019.102898
Merchant, H., Harrington, D. L., & Meck, W. H. (2013). Neural Basis of the Perception and Estimation of Time. Annual Review of Neuroscience, 36(1), 313–336. https://doi.org/10.1146/annurev-neuro-062012-170349
Merchant, H., Pérez, O., Zarco, W., & Gámez, J. (2013). Interval tuning in the primate medial premotor cortex as a general timing mechanism. Journal of Neuroscience, 33(21), 9082–9096. https://doi.org/10.1523/JNEUROSCI.5513-12.2013
Mita, A., Mushiake, H., Shima, K., Matsuzaka, Y., & Tanji, J. (2009). Interval time coding by neurons in the presupplementary and supplementary motor areas. Nature Neuroscience, 12(4), 502–507. https://doi.org/10.1038/nn.2272
Morillon, B., Kell, C. A., & Giraud, A. L. (2009). Three stages and four neural systems in time estimation. Journal of Neuroscience, 29(47), 14803–14811. https://doi.org/10.1523/JNEUROSCI.3222-09.2009
Murai, Y., & Yotsumoto, Y. (2016). Context-Dependent Neural Modulations in the Perception of Duration. Frontiers in Integrative Neuroscience, 10(MAR2016), 12. https://doi.org/10.3389/fnint.2016.00012
Oosterhof, N. N., Connolly, A. C., & Haxby, J. v. (2016). CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave. Frontiers in Neuroinformatics, 10(JUL), 27. https://doi.org/10.3389/fninf.2016.00027
Pastor, M. A., Day, B. L., Macaluso, E., Friston, K. J., & Frackowiak, R. S. J. (2004). The Functional Neuroanatomy of Temporal Discrimination. Journal of Neuroscience, 24(10), 2585–2591. https://doi.org/10.1523/JNEUROSCI.4210-03.2004
Paton, J. J., & Buonomano, D. v. (2018). The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions. In Neuron (Vol. 98, Issue 4, pp. 687–705). Cell Press. https://doi.org/10.1016/j.neuron.2018.03.045
Protopapa, F., Hayashi, M. J., Kanai, R., & Bueti, D. (2020). Topographic Connectivity in a Duration Selective Cortico-Cerebellar Network. BioRxiv, 2020.04.08.031385. https://doi.org/10.1101/2020.04.08.031385
Protopapa, F., Hayashi, M. J., Kulashekhar, S., van der Zwaag, W., Battistella, G., Murray, M. M., Kanai, R., & Bueti, D. (2019). Chronotopic maps in human supplementary motor area. PLOS Biology, 17(3), e3000026. https://doi.org/10.1371/journal.pbio.3000026
Roach, N. W., McGraw, P. v., Whitaker, D. J., & Heron, J. (2017). Generalization of prior information for rapid Bayesian time estimation. Proceedings of the National Academy of Sciences of the United States of America, 114(2), 412–417. https://doi.org/10.1073/pnas.1610706114
Tsouli, A., Cai, Y., van Ackooij, M., Hofstetter, S., Harvey, B. M., te Pas, S. F., van der Smagt, M. J., & Dumoulin, S. O. (2021). Adaptation to visual numerosity changes neural numerosity selectivity. NeuroImage, 229, 117794. https://doi.org/10.1016/j.neuroimage.2021.117794
van Ackooij, M., Paul, J. M., van der Zwaag, W., van der Stoep, N., & Harvey, B. M. (2022). Auditory timing-tuned neural responses in the human auditory cortices. NeuroImage, 258, 119366. https://doi.org/10.1016/j.neuroimage.2022.119366
Wiener, M., Turkeltaub, P., & Coslett, H. B. (2010). The image of time: A voxel-wise meta-analysis. NeuroImage, 49(2), 1728–1740. https://doi.org/10.1016/j.neuroimage.2009.09.064
Zhou, J., Benson, N. C., Kay, K. N., & Winawer, J. (2018). Compressive temporal summation in human visual cortex. Journal of Neuroscience, 38(3), 691–709. https://doi.org/10.1523/JNEUROSCI.1724-17.2017