Prof. Dr. Jochem Rieger

Applied Neurocognitive Psychology

+49 (0)441 798-4533

+49 (0)441 798-3865

W30 1-120 (» Address and map)

Secretary's Office

Jessica Jurado Garcia

+49 (0)441 798-5167

W30 1-119 (» Adress and map)


Applied Neurocognitive Psychology Lab

Applied Neurocognitive Psychology Lab

How does the human brain process sensory information from our natural environment and how does it represent meaningful information about it? How does the complexity of realistic tasks and emotions influence our cognitive performance and decision making (e.g. in multitasking). How can we improve our (group-) analysis methods by better understanding and accommodating the functional organization of human brains? Will this improve our understanding of brain function at the group and individual level? How can we make neuroscience research more open and FAIR? These are the questions motivating the research in the lab.
Addressing such such questions requires innovative research approaches and methods development. In one research focus we investigate speech processing in realistic soundscapes with relatively realistic movie soundtracks. In another research focus we investigate cognition and decision making in custom made driving simulators in fMRI, MEG, and fNIRS. In these empirical research foci we use symbolic and data-driven subsymbolic AI-methods to model brain function and analyze brain data obtained while people performed realistic tasks. In a methodological focus we develop tools and procedures for Open Science, to make neurodata FAIR and interoperable. Moreover we develop methods that better accommodate to the functional organization of human brains to improve the combination of brain activation measurements across individuals e.g. in big data research applications and to “warm start” brain computer interfaces with pre-recorded data. More detailed information can be found in our publications below and our project page.

Publications on auditory/speech processing (selection)

Al-Zubaidi, A., Bräuer, S., Holdgraf, C. R., Schepers, I. M., & Rieger, J. W. (2022). Sublexical cues affect degraded speech processing: insights from fMRI. Cerebral cortex communications3(1), tgac007.

Boos, M., Lücke, J., & Rieger, J. W. (2021). Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach. NeuroImage, 237, 118106. Download FREE

Vogelzang, M., Thiel, C. M., Rosemann, S., Rieger, J. W., & Ruigendijk, E. (2021). Effects of age-related hearing loss and hearing aid experience on sentence processing. Scientific reports11(1), 1-14. Download

Vogelzang, M., Thiel, C. M., Rosemann, S., Rieger, J. W., & Ruigendijk, E. (2020). Neural mechanisms underlying the processing of complex sentences: An fMRI study. Neurobiology of Language, 1(2), 226-248. Download article (FREE)

Weber, Kirsten, Cristiano Micheli, Esther Ruigendijk, and Jochem W. Rieger. 2019. “Sentence Processing Is Modulated by the Current Linguistic Environment and a Priori Information: An FMRI Study.” Brain and Behavior, June, e01308. (open access)

Cristiano Micheli, Inga M. Schepers, Müge Ozker, Daniel Yoshor, Michael S. Beauchamp, Jochem W. Rieger (2018). Electrocorticography reveals continuous auditory and visual speech tracking in temporal and occipital cortex. European Journal of Neuroscience. doi:10.1111/ejn.13992 Abstract

Holdgraf C., de Heer W., Pasley B., Rieger J., Crone N., Lin J., Knight R., Theunissen F. (2016) Rapid tuning shifts in human auditory cortex enhance speech intelligibility. Nature Communications 7 Download article (FREE)

Martin, S., Brunner, P., Holdgraf, C., Heinze, H.-J., Crone, N. E., Rieger, J.W., Schalk, G., Knight, R. T. and Pasley, B. (2014) Decoding spectrotemporal features of overt and covert speech from the human cortex. Frontiers in Neuroengineering 7:14, doi: 10.3389/fneng.2014.00014 Download article (FREE)

Chang E.F., Rieger J.W., Johnson K., Berger M.S., Barbaro N.M., Knight R.T. (2010) Categorical representation of phonemes in the human superior temporal gyrus. Nature Neuroscience 13: 1428–1432 (shared first and corresponding authors) Abstract Download article (restricted access)

Noesselt T., Rieger J.W., Schoenfeld M.A. Kanowski M., Heinze H.-J. & Driver J. (2008) Audio-visual temporal correspondence modulates polysensory superior temporal sulcus plus visual and auditory primary cortices. Journal of Neuroscience 27(42): 11431-41 Pubmed Download article (FREE)

Publications on cognition under multitasking and emotions (selection)

Werner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni. Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic. (2019)

Klas Ihme, Anirudh Unni*, Meng Zhang, Jochem W. Rieger and Meike Jipp (2018). Recognizing Frustration of Drivers from Face Video Recordings and Brain Activation Measurements with Functional Near-Infrared Spectroscopy. Front. Hum. Neurosci. 12:327. doi: 10.3389/fnhum.2018.00327 (* shared first author) Download article (FREE)

Unni A, Ihme K, Jipp M and Rieger JW (2017). Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-Infrared Spectroscopy: A Realistic Driving Simulator Study. Front. Hum. Neurosci. 11:167. doi: 10.3389/fnhum.2017.00167 Download article (FREE)

Bertram Wortelen, Anirudh Unni, Jochem W. Rieger, Andreas Lüdtke. Towards the Integration and evaluation of online workload measures in a cognitive architecture. 7th IEEE Conference on Cognitive Infocommunications 2016, pp. 11-16, Wroclaw, Poland. ISBN: 978-1-5090-2645-6 Abstract

Reichert, C., Fendrich, R., Bernarding, J., Tempelmann, C., Hinrichs, H. and Rieger, J. W. (2014) Online tracking of the contents of conscious perception using real-time fMRI. Frontiers in Neuroscience 8:116, doi: 10.3389/fnins.2014.00116 Download article (FREE); Article was featured in Discover Magazine

Publications on decision making (selection)

Trende, A., Unni, A., Jablonski, M., Biebl, B., Lüdtke, A., Fränzle, M., & Rieger, J. W. (2022) Driver’s turning intent recognition model based on brain activation and contextual information. Frontiers in Neuroergonomics, 23,

Unni A., Trende A., Pauley C, Weber L., Biebl B., Kacianka S., Lüdtke A., Bengler K., Pretschner A., Fränzle M. and Rieger J.W. (2022). Investigating Differences in Behavior and Brain in Human-Human and Human-Autonomous Vehicle Interactions in Time-Critical Situations. Front. Neuroergon. 3:836518.

Trende A., Unni A., Rieger J., Fraenzle M. (2021) Modelling Turning Intention in Unsignalized Intersections with Bayesian Networks. In: Stephanidis C., Antona M., Ntoa S. (eds) HCI International 2021, pp. 289-296. Communications in Computer and Information Science, vol 1421. Springer, Cham.

Schepers IM, Beck AK, Bräuer S, Schwabe K, Abdallatb M, Sandmann P, Dengler R, Rieger JW, Krauss JK (2017) Human centromedian-parafascicular complex signals sensory cues for goal-oriented behavior selection. NeuroImage, (shared senior author)

Yvonne M. Fonken, Jochem W. Rieger, Elinor Tzvi, Nathan E. Crone, Edward Chang, Josef Parvizi, Robert T. Knight, Ulrike M. Krämer (2016) Frontal and motor cortex contributions to response inhibition: evidence from electrocorticography. Journal of Neurophysiology, DOI: 10.1152/jn.00708.2015 Abstract

Hollmann M., Rieger J.W., Baecke S., Lützkendorf R., Müller C., Adolf D., Bernarding J. (2011) Predicting Decisions in Human Social Interactions Using Real-Time fMRI and Pattern Classification. PLoS ONE 6:e25304. (shared first authors) PubMed Download article (FREE)

Publications on Open Science (selection)

Niso, G., Botvinik-Nezer, R., Appelhoff, S., De La Vega, A., Esteban, O., Etzel, J. A., ... & Rieger, J. W. (2022). Open and reproducible neuroimaging: from study inception to publication. NeuroImage, 119623.

ANCPLabOldenburg GitHub

Publications on methods development (selection)

Schmitt, T., Rieger, J. W., (2021). Recommendations of Choice of Head Coil and Prescan Normalize Filter Depend on Region of Interest and Task. Frontiers Media. Download FREE

Boos, M., Guntupalli, J. S., Rieger, J. W., Hanke, M. (2020). The role of auxiliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI data. bioRxiv Download FREE

Holdgraf, C. R., Rieger, J. W., Micheli, C., Martin, S., Knight, R. T., & Theunissen, F. E. (2017). Encoding and Decoding Models in Cognitive Electrophysiology. Frontiers in Systems Neuroscience11, 61. [Frontiers] Das begleitende Tutorial in Form eines Jupyter-Notebooks finden Sie hier:

Dreyer, A. M., Herrmann, C. S., & Rieger, J. W. (2017). Tradeoff between user experience and BCI classification accuracy with frequency modulated steady-state visual evoked potentials. Frontiers in human neuroscience11, 391. [Frontiers] 

S. Iman Shirinbayan, Jochem W. Rieger (2017) An MR-compatible gyroscope-based arm movement tracking system. Journal of Neuroscience Methods, DOI: 10.1016/j.jneumeth.2017.01.015 Abstract

Schicktanz S, Amelung T and Rieger JW (2015). Qualitative assessment of patients’ attitudes and expectations towards BCIs and implications for future technology development. Front. Syst. Neurosci. 9:64. doi: 10.3389/fnsys.2015.00064 Download Article (FREE)

C. Reichert, M. Kennel, R. Kruse, H. Hinrichs, and J. W. Rieger, "Efficiency of SSVEF Recognition from the Magnetoencephalogram - A Comparison of Spectral Feature Classification and CCA-based Prediction." in NEUROTECHNIX 2013 - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics. pp. 233-237, SCITEPRESS Digital Library, 2013, ISBN: 978-989-8565-80-8. Download article (FREE)

Quandt, F., Reichert, C., Hinrichs, H., Heinze, H. J., Knight, R. T., & Rieger, J. W. (2012). Single trial discrimination of individual finger movements on one hand: a combined MEG and EEG study. NeuroImage59(4), 3316-3324. Download article (restricted access)

Quandt F., Reichert C. Schneider B., Dürschmid S., Richter D., Hinrichs H., Rieger J.W. (2012) Fundamentals and Application of Brain-Machine Interfaces. Klinische Neurophysiologie 43 (2): 158-167 Download article (restricted access)

Sun, L., Rieger, J.W., Hinrichs, H. (2009) Maximum noise fraction (MNF) transformation to remove ballistocardiographic artifacts in EEG signals recorded during fMRI scanning. NeuroImage 46: 144-153 PubMedDownload article (restricted access)

Hanke, M., Halchenko, Y.O., Sederberg, P.B., Olivetti, E., Fründ, I., Rieger, J.W., Herrmann, C.S., Haxby, J.V., Hanson, S.J., Pollmann, S. (2009) PyMVPA: A unifying approach to the analysis of neuroscientific data. Frontiers in Neuroinformatics 3:3 PubMed Download article (FREE)

Kanowski, M., Rieger, J.W., Noesselt, T., Tempelmann, C. & Hinrichs, H. (2007) Endoscopic Eye Tracking System for fMRI. Journal of Neuroscience Methods, 160(1): 10-15 PubMed Download article (restricted access)

(Changed: 19 Dec 2022)