portfolio_view

Contact

E-mail: lukas_hecker@web.de
Github: https://github.com/LukeTheHecker

Positions

08/2023 - today: Scientific consultant for the Braude College, Israel in cooperation with the McGovern Institute for Brain Research in Boston (MIT).

12/2022 - 11/2023: Research officer at an AI startup.

01/2020 - 12/2022: PhD student working on Machine Learning applied to Inverse Solutions in Electro- and Magnetoencephalography. Scholarship holder of the Institute for Frontier Areas in Psychology and Mental Health. Researcher at the University Medical Center, Department for Psychosomatic Medicine and Psychotherapy, Freiburg, Germany.

Education

2020 Master of Science: Neuroscience at the Albert-Ludwigs-University Freiburg. Mastherthesis: “Neural correlates of ambiguity resolution Evidence from fMRI and EEG”

2016 Bachelor of Science: Sensors and Cognitive Psychology at the Technical University of Chemnitz

Publications

Hecker, L., Giri, A., Pantazis, D., & Adler, A. (2023). Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (Flex-AP). bioRxiv, 2023-11.

Wilson, M., Hecker, L., Joos, E., Aertsen, A., Tebartz van Elst, L., & Kornmeier, J. (2023). Spontaneous Necker-cube reversals may not be that spontaneous. Frontiers in Human Neuroscience, 17, 1179081. https://doi.org/10.3389/fnhum.2023.1179081

Hecker, L., Tebartz van Elst, L., & Kornmeier, J. (2023). Source localization using recursively applied and projected MUSIC with flexible extent estimation. Frontiers in Neuroscience, 17, 1170862. https://doi.org/10.3389/fnins.2023.1170862

Hecker, L., Wilson, M., Tebartz van Elst, L., & Kornmeier, J. (2022). Altered EEG variability on different time scales in participants with autism spectrum disorder: an exploratory study. Scientific reports, 12(1), 1-12. https://doi.org/10.1038/s41598-022-17304-x

Hecker, L., Rupprecht, R., Tebartz van Elst, L., & Kornmeier, J. (2021). ConvDip: A convolutional neural network for better EEG Source Imaging. Frontiers in Neuroscience, 15, 569918. https://doi.org/10.3389/fnins.2021.569918

Joos, E., Giersch, A., Hecker, L., Schipp, J., Heinrich, S. P., Tebartz van Elst, L., & Kornmeier, J. (2020). Large EEG amplitude effects are highly similar across Necker cube, smiley, and abstract stimuli. PloS one, 15(5), e0232928. https://doi.org/10.1371/journal.pone.0232928

Kornmeier, J., Friedel, E., Hecker, L., Schmidt, S., & Wittmann, M. (2019). What happens in the brain of meditators when perception changes but not the stimulus?. PLoS One, 14(10), e0223843. https://doi.org/10.1371/journal.pone.0223843

Taubert, M., Stein, T., Kreutzberg, T., Stockinger, C., Hecker, L., Focke, A., … & Pleger, B. (2016). Remote effects of non-invasive cerebellar stimulation on error processing in motor re-learning. Brain stimulation, 9(5), 692-699. https://doi.org/10.1016/j.brs.2016.04.007

Preprints

Hecker, L., Joos, E., Feige, B., Maier, S., van Elst, L. T., & Kornmeier, J. (2023). Source Reconstruction of the ERP Uncertainty Effects reveals common Neural Mechanisms for different Stimulus Categories. https://www.researchsquare.com/article/rs-2405042/latest.pdf

Hecker, L., Tebartz van Elst, L., & Kornmeier, J. (2023). Source Localization Using Recursively Applied and Projected MUSIC with Flexible Extent Estimation. bioRxiv, 2023-01. https://www.biorxiv.org/content/10.1101/2023.01.20.524892.abstract

Hecker, L., Rupprecht, R., van Elst, L. T., & Kornmeier, J. (2022). Long-Short Term Memory Networks for Electric Source Imaging with Distributed Dipole Models. bioRxiv. https://doi.org/10.1101/2022.04.13.488148

Hecker, L., Wilson, M., van Elst, L. T., & Kornmeier, J. (2021). Altered EEG Variability on Different Time Scales in Participants with Autism Spectrum Disorder. https://doi.org/10.21203/rs.3.rs-880125/v1

Open Source

invert Python package to solve M/EEG inverse problems with > 50 different approaches.
esinet Python package to solve M/EEG inverse problems using artificial neural networks.
LAURA Python package to solve M/EEG inverse problems using Local AUtoregressive aveRAge (LAURA) for smooth linear inverse solutions.

Conferences

Wilson, M., Hecker, L., Joos, E., Tebartz van Elst, L. T., Kornmeier, J. (2022). Spontaneous Necker-cube Reversals are not that Spontaneous – An EEG Study. Journal of Vision, 20

Mascke, M., Hecker, L., Tebartz van Elst, L. T., Kornmeier, J. (2022). EEG Source Localisation Using esinet, an Artificial Neural Networks-based Method. Journal of Vision, 20

Hecker, L., Joos, E., Bhatia, K., Feige, B., Maier, S., Tebartz van Elst, L. T., Kornmeier, J. (2022). Source Reconstruction of the ERP Uncertainty Effects Reveals Common Neural Mechanisms for Different Stimulus Categories. Journal of Vision, 20

Hecker, L., Joos, E., Bhatia, K., Feige, B., Maier, S., Tebartz van Elst, L. T., Kornmeier, J. (2022). Source Reconstruction of the ERP Uncertainty Effects Reveals Common Neural Mechanisms for Different Stimulus Categories. Journal of Vision, 20

Hecker, L., Wilson, M., Tebartz van Elst, L., T., Kornmeier, J. (2022). Altered EEG Variability on Different Time Scales in Participants with Autism Spectrum Disorder – An Exploratory Study. Conference Psychologie und Gehirn 2022, Freiburg, Germany

Kornmeier, J., Giersch, A., Heinrich, S., Bhatia, K., Hecker, L., Joos, E., & van Elst, L. T. (2021). Can I trust in what I see?–EEG evidence for reliability estimations of perceptual outcomes. Journal of Vision, 21(9), 2836-2836.

Wilson, M., Alcobendas, M., Joos, E., Giersch, A., van der Elst, L. T., Hecker, L., & Kornmeier, J. (2021, August). Do smaller P300 amplitudes in Schizophrenia Spectrum Disorder result from larger phase variability?. In 43rd European Conference on Visual Perception Online, 22-27 august 2021.

Joos, E., Giersch, A., Hecker, L., Schipp, J., van Elst, L. T., & Kornmeier, J. (2019). How ambiguity helps to understand metaperception-Similar EEG correlates of geometry and emotion processing. Journal of Vision, 19(10), 224a-224a.

Hecker, L., Joos, E., Feige, B., van Elst, L. T., & Kornmeier, J. (2019, September). Common Neural Generators of the ERP Ambiguity Effects with Different Types of Ambiguous Figures. In PERCEPTION (Vol. 48, pp. 65-65). 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD.

Joos, E., Giersch, A., Hecker, L., Schipp, J., van Elst, L. T., & Kornmeier, J. (2019, June). How Meta-perception helps to process Ambiguity in Geometry and Emotion. In the annual meeting of Psychology and Brain (Psychologie und Gehirn, PuG), 20-22 june 2019 Dresden, Germany.

Hecker, L., Joos, E., Giersch, A., van der Helst, L. T., & Kornmeier, J. (2018, August). We Cannot Ignore a Smile!—EEG Correlates of the Interaction Between Ambiguity and Attention. In . 41st European Conference on Visual Perception (ECVP), Trieste, Italie, 26-30 august 2018 (Vol. 48, No. S1).