Neural Computation for Sound and Recognition
Our core research areas are:
Language and music are fundamental aspects of our lives—with impairment resulting in serious derogation. While we understand spoken language (or follow music) seemingly effortlessly, the cognitive computations and neural implementations are far from understood. Our research interests lie in how the brain connects sensory information to recognition, involving auditory perception, particularly speech and music, and understanding how malleable, trainable, or plastic the mechanisms are. Particularly, we investigate the role of brain rhythms and the motor system. Our methodology includes psychophysics, electrophysiology, and neuroimaging (particularly EEG, MEG, MRI). Furthermore, we are interested in computational modeling approaches.
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Latest Publications
Bahmer, A., Rimmele, J. M., & Gupta, D. S. (2024). Editorial: Understanding the
role of oscillations, mutual information and synchronization in perception and action. Frontiers in
Computational Neuroscience,18: 1452001. doi:10.3389/fncom.2024.1452001.
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Barchet, A. V., Rimmele, J. M., & Pelofi, C. (2024). TenseMusic: An automatic prediction
model for musical tension. PLOS ONE,19(1): e0296385.
doi:10.1371/journal.pone.0296385.
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Tavano, A., Rimmele, J. M., Michalareas, G., & Poeppel, D. (2023). Neural oscillations
in EEG and MEG. In M. Grimaldi, E. Brattico, & Y. Shtyrov (
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Ossandón, J. P., Stange, L., Gudi-Mindermann, H., Rimmele, J. M., Sourav, S., Bottari, D., Kekunnaya, R., & Röder, B.
(2023). The development of oscillatory and aperiodic resting state activity is linked
to a sensitive period in humans. NeuroImage,275: 120171.
doi:10.1016/j.neuroimage.2023.120171.
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Lubinus, C., Keitel, A., Obleser, J., Poeppel, D., & Rimmele, J. M. (2023). Explaining
flexible continuous speech comprehension from individual motor rhythms. Proceedings of the Royal Society
B: Biological Sciences,290(1994): 20222410. doi:10.1098/rspb.2022.2410.
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PDFLocator 1
Rimmele, J. M., Sun, Y., Michalareas, G., Ghitza, O., & Poeppel, D. (2023). Dynamics
of functional networks for syllable and word-level processing. Neurobiology of Language,4(1), 120-144. doi:10.1162/nol_a_00089.
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Weise, A., Grimm, S., Rimmele, J. M., & Schröger, E. (2023). Auditory representations
for long lasting sounds: Insights from event-related brain potentials and neural oscillations. Brain
and Language,237: 105221. doi:10.1016/j.bandl.2022.105221.
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