My main research interest is to understand selective auditory attention of real-life sounds and their mixtures. To this end, I’m currently employing hf-fMRI, EEG and simultaneous fMRI-EEG measurements. Other research topics are sound representations in auditory-responsive brain areas and multivariate data-analysis approaches and computational modelling of auditory scenes including attention mechanisms.


  • Hausfeld, L., Valente, G., & Formisano, E. (2014). Multiclass fMRI data decoding and visualization using supervised self-organizing maps. Neuroimage96, 54-66. DOI: 10.1016/j.neuroimage.2014.02.006

  • Bonte, M., Hausfeld, L., Scharke, W., Valente, G., & Formisano, E. (2014). Task-dependent decoding of speaker and vowel identity from auditory cortical response patterns. Journal of Neuroscience34(13), 4548-4557. DOI: 10.1523/JNEUROSCI.4339-13.2014

  • Hausfeld, L., de Martino, F., Bonte, M. L., & Formisano, E. (2012). Pattern analysis of EEG responses to speech and voice: Influence of feature grouping. Neuroimage59, 3641-3651. DOI: 10.1016/j.neuroimage.2011.11.056

  • Ley, A., Vroomen, J., Hausfeld, L., Valente, G., de Weerd, P., & Formisano, E. (2012). Learning of new sound categories shapes neural response patterns in human auditory cortex. Journal of Neuroscience32(38), 13273-13280. DOI: 10.1523/JNEUROSCI.0584-12.2012

  • Ten Oever, S., Hausfeld, L., Correia, J. M., Van Atteveldt, N., Formisano, E., & Sack, A. T. (2016). A 7T fMRI study investigating the influence of oscillatory phase on syllable representations. Neuroimage141, 1-9. DOI: 10.1016/j.neuroimage.2016.07.011