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Lapenta, O. M., Keller, P. E., Nozaradan, S. & Varlet, M. (2023). Spatial and temporal (non)binding of audiovisual rhythms in sensorimotor synchronisation. Experimental Brain Research, 241(3), 875-887. https://doi.org/10.1007/s00221-023-06569-x
P, K., M, G., Bodak, R. & Stewart, L. (2015). Sounds Within Reach: Enriched Environments for Physical Rehabilitation of the Upper Limb. Poster session presented at Examining the Utility of Music Interventions in Neurological Disorders of Older People, United Kingdom.
Møller, C., Zamm, A. & Engler, B. (2024). Slower spontaneous rates are linked to better performance in pitch discrimination tasks. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.
Choubey, A., Morgan, S., Genovese, S., van Buijtene, T., Saberi, A., Partmann, A., Sabhapondit, B., George, M., O'Leary, T. & Hu, Z. (2025). Sleeping Soundly: an Interdisciplinary Approach to Communicating Individual Sleep Experiences Through a Shared Sonic Domain. In Proceedings of Conference on Sonification of Health and Environmental Data (SoniHED 2025) https://doi.org/10.5281/zenodo.15032422
Brattico, E., Winkler, M., Naatanen, R., Paavilainen, P. & Tervaniemi, M. (2002). Simultaneous storage of two complex temporal sound patterns in auditory sensory memory. NeuroReport, 13(14), 1747-1751.
Mårup, S. H., Møller, C. & Vuust, P. (2019). Simultaneous performance of rhythm and beat: A bodily hierarchy. Poster session presented at Brain, Music and Cognition 2019, Jerusalem, Israel.
Livingstone-Lee, S. A., Murchison, S., Zeman, P. M., Gandhi, M., van Gerven, D., Stewart, L., Livingston, N. J. & Skelton, R. W. (2011). Simple gaze analysis and special design of a virtual Morris water maze provides a new method for differentiating egocentric and allocentric navigational strategy choice. Behavioural Brain Research, 225(1), 117-25. https://doi.org/10.1016/j.bbr.2011.07.005
Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Signatures of white-matter microstructure degradation during aging and its association with cognitive status. Scientific Reports, 11(1), Article 4517. https://doi.org/10.1038/s41598-021-83983-7
Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B. & Deco, G. (2021). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226, Article 117470. https://doi.org/10.1016/j.neuroimage.2020.117470
Lumaca, M., Brattico, E. & Baggio, G. (2021). Signaling games and music as a credible signal. Behavioral and Brain Sciences, 44, e107. Article e107. https://doi.org/10.1017/S0140525X20001016
Keller, P. E., Lee, J., König, R. & Novembre, G. (2023). Sex-related communicative functions of voice spectral energy in human chorusing. Biology Letters, 19(11), Article 20230326. https://doi.org/10.1098/rsbl.2023.0326
Francesconi, M., Galotti, A., Jadoul, Y., Giovannini, F., Ravignani, A. & Palagi, E. (2026). SEX in bonobos: The intensity of sexual stimulation sharply drops after facial mimicry. Evolution and Human Behavior, 47(1), Article 106786. https://doi.org/10.1016/j.evolhumbehav.2025.106786
Caclin, A., Brattico, E., Tervaniemi, M., Naatanen, R., Morlet, D., Giard, M.-H. & McAdams, S. (2006). Separate neural processing of timbre dimensions in auditory sensory memory. Journal of Cognitive Neuroscience (Online), 18(12), 1959-1972.
Lippolis, M., Carraturo, G., Ferreri, L., Vuust, P., Müllensiefen, D., Matarrelli, B. & Brattico, E. (2023). Sensitivity to social reward in music behavior changes after ,usic training in preadolescence. Advances in Cognitive Psychology, 19(4), 106-125. https://doi.org/10.5709/acp-0409-z
Young, K. S., Parsons, C. E., LeBeau, R. T., Tabak, B. A., Sewart, A. R., Stein, A., Kringelbach, M. L. & Craske, M. G. (2017). Sensing Emotion in Voices: Negativity Bias and Gender Differences in a Validation Study of the Oxford Vocal ('OxVoc') Sounds Database. Psychological Assessment, 29(8), 967-977. https://doi.org/10.1037/pas0000382
Puolivali, T., Cong, F., Alluri, V., Lin, Q.-H., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music. International Conference on Acoustics Speech and Signal Processing ICASSP, 1310-1314.
del Agua, E., Escrichs, A., Sanz Perl, Y., Kringelbach, M. L., Diamond, A., Denervaud, S. & Deco, G. (2026). Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education. Advanced Science. Advance online publication. https://doi.org/10.1002/advs.202524343
Perl, Y. S., Mininni, P., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2023). Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators. Physical Review Research , 5(3), Article 033183. https://doi.org/10.1103/PhysRevResearch.5.033183
Liu, C., Fa, R., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Scalable clustering based on enhanced-smart for large-scale fMRI datasets. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 962-966.
Hersh, T. A., Ravignani, A. & Burchardt, L. S. (2023). Robust rhythm reporting will advance ecological and evolutionary research. Methods in Ecology and Evolution, 14(6), 1398-1407. https://doi.org/10.1111/2041-210X.14118
Seeberg, A. B., Matthews, T., Højlund, A., Vuust, P. & Petersen, B. (2023). Rhythm perception and experience of groove in cochlear implant users. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.
Laffi, L., Bigand, F., Peham, C., Novembre, G., Gamba, M. & Ravignani, A. (2025). Rhythmic categories in horse gait kinematics. Journal of Anatomy, 246(3), 456-465. https://doi.org/10.1111/joa.14200
Jadoul, Y., D’Orazio, F., Eleuteri, V., van der Werff, J., Tufarelli, T., Gamba, M., Raimondi, T. & Ravignani, A. (2025). Rhythmic Analysis in Animal Communication, Speech, and Music: The Normalized Pairwise Variability Index Is a Summary Statistic of Rhythm Ratios. Vibration, 8(2), Article 12. https://doi.org/10.3390/vibration8020012
de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences (PNAS), 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116
Kobeleva, X., López-González, A., Kringelbach, M. L. & Deco, G. (2021). Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics. Frontiers in Neuroscience, 15, Article 715861. https://doi.org/10.3389/fnins.2021.715861