Publications

The names of lab members are in bold.

Submitted

Abram, S., Hanke, M., Redish, A. D. & MacDonald, A. W. The neural basis of human deliberation.

Notter, M., Hanke, M., Murray, M. & Geiser, E. Encoding of auditory temporal Gestalt in the human brain. Cerebral Cortex. Revision submitted.

Peer-reviewed

Derrfuss, J., Ekman, M., Hanke, M., Tittgemeyer, M. & Fiebach, C. (2017) Distractor-resistant short-term memory is supported by transient changes in neural stimulus representations. Journal of Cognitive Neuroscience, 29, 1547-1565.

Reeder, R. R., Hanke, M. & Pollmann, S. (2017) Task relevance modulates the representation of features and feature dimensions in the target template. Scientific Reports, 7, 4514.

Eglen, S., Marwick, B., Halchenko, Y. O, Hanke, M, Sufi, S., Gleeson, P., Silver. R. A., Davison, A., Lanyon, L., Abrams, M., Wachtler, T., Willshaw, D. J., Pouzat, C. & Poline, J. B. (2017). Towards standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience, 20, 770-773.

Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., Proal, E., Thirion, B., Van Essen, D. C., White, T. & Yeo, B. T. T. (2017). Standards for Best Practices in Data Analysis and Sharing in Neuroimaging using MRI. Nature Neuroscience, 20, 299-303.

Sengupta, A., Yakupov, R., Speck, O., Pollmann, S. & Hanke, M. (2017) The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 Tesla. NeuroImage, 148, 64-76. [Description of associated dataset available in: Sengupta, A., Yakupov, R., Speck, O., Pollmann, S. & Hanke, M. (2017) Ultra high-field multi-resolution fMRI data for orientation decoding in visual cortex. Data in Brief, 13, 219-222.]

Hanke, M. & Ibe, P. (2016) Lies, irony, and contradiction — an annotation of semantic conflict in the movie "Forrest Gump". F1000Research, 5:2375.

Hanke, M., Adelhöfer, N., Kottke, D., Iacovella, V., Sengupta, A., Kaule, F. R., Nigbur, R., Waite, A. Q., Baumgartner, F. J. & Stadler, J. (2016). A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation. Scientific Data, 3:160092.

Häusler, C. O. & Hanke, M.. (2016) An annotation of cuts, depicted locations, and temporal progression in the motion picture "Forrest Gump". F1000Research, 5:2273.

Güçlü, U., Thielen, J., Hanke, M., van Gerven, M. A. J. (2016). Brains on Beats. In Advances in Neural Information Processing Systems (NIPS), 29, 2101-2109. [ArXiv].

Sengupta, A., Kaule, F. R., Guntupalli, J. S., Hoffmann, M. B., Häusler, C., Stadler, J. & Hanke, M. (2016). A studyforrest extension, retinotopic mapping and localization of higher visual areas. Scientific Data, 3:160093.

Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Duff, E. P., Flandin, G., Ghosh, S. S., Halchenko, Y. O., Handwerker, D. A., Hanke, M., Keator, D., Li, X., Maumet, M., Michael, Z., Nichols, N. N., Nichols, T. E., Poline, J. B., Rokem, A., Schaefer, G., Sochat, V., Turner, J. A., Varoquaux, G. & Poldrack, R. A. (2016). The Brain Imaging Data Structure: a protocol for standardizing and describing outputs of neuroimaging experiments. Scientific Data, 3:160044.

Guntupalli, J. S., Hanke, M., Halchenko, Y. O., Connolly, A. C., Ramadge, P. J. & Haxby, J. V. (2016). A Model of Representational Spaces in Human Cortex. Cerebral Cortex, 26, 2919-2934.

Halchenko, Y. O. & Hanke, M. (2015). Four aspects to make science open "by design" and not as an after-thought. GigaScience, 4:31.

Hanke, M., Dinga, R., Häusler, C., Guntupalli, J. S., Casey, M., Kaule, F. R. & Stadler, S. (2015). High-resolution 7-Tesla fMRI data on the perception of musical genres – an extension to the studyforrest dataset. F1000Research, 4:174.

Labs, A., Reich, T., Schulenburg, H., Boennen, M., Gehrke, M., Golz, M., Hartings, B., Hoffmann, N., Keil, S., Perlow, M., Peukmann, A. K., Rabe, L. N., von Sobbe, F.-R. & Hanke, M. (2015). Portrayed emotions in the movie "Forrest Gump". F1000Research, 4:92.

Pollmann, S., Zinke, W., Baumgartner, F., Geringswald, F. & Hanke, M. (2014). The right temporo-parietal junction contributes to visual feature binding. NeuroImage, 101, 289-297.

Hanke, M., Baumgartner, F. J., Ibe, P., Kaule, F. R., Pollmann, S., Speck, O., Zinke, W. & Stadler, J. (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data, 1:140003.

Kohler, P. J., Fogelson, S. V., Reavis, E. A., Meng, M., Guntupalli, J. S., Hanke, M., Halchenko, Y. O., Connolly, A. C., Haxby, J. V. & Tse, P. U. (2013). Pattern classification precedes region-average hemodynamic response in early visual cortex. NeuroImage, 78, 249-260.

Baumgartner, F., Hanke, M., Geringswald, F., Zinke, W., Speck, O. & Pollmann, S. (2013). Evidence for feature binding in the superior parietal lobule. NeuroImage, 68, 173-180.

Halchenko, Y. O. & Hanke, M. (2012). Open is not enough. Let’s take the next step: An integrated, community-driven computing platform for neuroscience. Frontiers in Neuroinformatics, 6:22.

Poline, J.-B., Breeze, J. L., Ghosh, S. S., Gorgolewski, K. F., Halchenko, Y. O., Hanke, M., Haselgrove, C., Helmer, K. G., Keator, D. B., Marcus, D. S., Poldrack, R. A., Schwartz, Y., Ashburner, J. and Kennedy, D. N. (2012). Data sharing in neuroimaging research. Frontiers in Neuroinformatics, 6:9.

Connolly, A. J., Guntupalli, J. S., Gors, J., Hanke, M., Halchenko, Y. O., Wu, Y. C., Abdi, H. & Haxby, J. V. (2012). Representation of Biological Classes in the Human Brain. Journal of Neuroscience, 32, 2608-2618.

Haxby, J. V., Guntupalli, J. S., Connolly, A. C., Halchenko, Y. O., Conroy, B. R., Gobbini, M. I., Hanke, M. & Ramadge, P. J. (2011). A common, high-dimensional model of the representational space in human ventral temporal cortex. Neuron, 72, 404-416.

Hanke, M. & Halchenko, Y. O. (2011). Neuroscience runs on GNU/Linux. Frontiers in Neuroinformatics, 5:8.

Lee, Y. S., Janata, P., Frost, C., Hanke, M. & Granger, R. (2011). Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. NeuroImage, 57, 293--300.

Hanke, M., Halchenko, Y. O., Haxby, J. V., & Pollmann, S. (2010). Statistical learning analysis in neuroscience: aiming for transparency. Frontiers in Neuroscience, 4, 38--43.

Hanke, M. (2009). Advancing the understanding of brain function with multivariate pattern analysis (Doctoral dissertation), Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

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

Hanke, M., Halchenko, Y. O., Sederberg, P. B., Hanson, S. J., Haxby, J. V. & Pollmann, S. (2009). PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics, 7, 37--53. [view]

Maertens, M., Pollmann, S., Hanke, M., Mildner, T. & Möller, H.E. (2008). Retinotopic activation in response to subjective contours in primary visual cortex. Frontiers in Human Neuroscience, 2:2.

Additional publications

Hanke, M. (2017). Studyforrest, study! F1000Research Blog.

Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., Proal, E., Thirion, B., Van Essen, D. C., White, T., Yeo, B. T. T. (2015). Best Practices in Data Analysis and Sharing in Neuroimaging using MRI. Report of the OHBM Committee on Best Practices in Data Analysis and Sharing (COBIDAS). [bioRxiv doi:10.1101/054262]

Hanke, M. & Halchenko, Y. O. (2015). A communication hub for a decentralized collaboration on studying real-life cognition. F1000Research, 4:62.

Halchenko, Y.O., Hanke, M., Haxby, J.V., Hanson, S.J. & Herrmann, C.S. (2013). Transmodal Analysis of Neural Signals. arXiv:1307.215.

Tille, A., Möller, S., Hanke, M & Halchenko, Y. O. (2011). Debian Med: Integrated software environment for all medical purposes based on Debian GNU/Linux. In Jordanova, M. & Lievens, F. (Eds.), Global Telemedicine and eHealth Updates: Knowledge Resources, Vol. 4. Luxembourg: ISfTeH.

Halchenko, Y. O. & Hanke, M. (2010). Advancing Neuroimaging Research with Predictive Multivariate Pattern Analysis (MVPA). The Neuromorphic Engineer.

Lukas, J., & Hanke, M. (2004). Wie die Bilder laufen lernten: Kognitive Prozesse bei der Bewegungswahrnehmung. Scientia halensis, 4, 21--22.