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.


Christina Lubinus

Vivien Barchet

Latest Publications

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.

Tavano, A., Rimmele, J. M., Michalareas, G., & Poeppel, D. (2023). Neural oscillations in EEG and MEG. In M. Grimaldi, E. Brattico, & Y. Shtyrov (Eds.), Language electrified: Principles, methods, and future perspectives of investigation (pp. 241-284). New York, NY: Humana Press. doi:10.1007/978-1-0716-3263-5_8.

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.

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.
PuRe 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.

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.

Lubinus, C., Einhäuser, W., Schiller, F., Kircher, T., Straube, B., & van Kemenade, B. M. (2022). Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability. NeuroImage,263: 119601. doi:10.1016/j.neuroimage.2022.119601.