References
Bilbiography
Lindsay M. Alexander, Jasmine Escalera, Lei Ai, Charissa Andreotti, Karina Febre, Alexander Mangone, Natan Vega-Potler, Nicolas Langer, Alexis Alexander, Meagan Kovacs, Shannon Litke, Bridget O'Hagan, Jennifer Andersen, Batya Bronstein, Anastasia Bui, Marijayne Bushey, Henry Butler, Victoria Castagna, Nicolas Camacho, Elisha Chan, Danielle Citera, Jon Clucas, Samantha Cohen, Sarah Dufek, Megan Eaves, Brian Fradera, Judith Gardner, Natalie Grant-Villegas, Gabriella Green, Camille Gregory, Emily Hart, Shana Harris, Megan Horton, Danielle Kahn, Katherine Kabotyanski, Bernard Karmel, Simon P. Kelly, Kayla Kleinman, Bonhwang Koo, Eliza Kramer, Elizabeth Lennon, Catherine Lord, Ginny Mantello, Amy Margolis, Kathleen R. Merikangas, Judith Milham, Giuseppe Minniti, Rebecca Neuhaus, Alexandra Levine, Yael Osman, Lucas C. Parra, Ken R. Pugh, Amy Racanello, Anita Restrepo, Tian Saltzman, Batya Septimus, Russell Tobe, Rachel Waltz, Anna Williams, Anna Yeo, Francisco X. Castellanos, Arno Klein, Tomas Paus, Bennett L. Leventhal, R. Cameron Craddock, Harold S. Koplewicz, and Michael P. Milham. An open resource for transdiagnostic research in pediatric mental health and learning disorders. Scientific Data, 4(1):170181, December 2017. URL: http://www.nature.com/articles/sdata2017181 (visited on 2022-12-16), doi:10.1038/sdata.2017.181.
Kenneth Carling. Resistant outlier rules and the non-Gaussian case. Computational Statistics & Data Analysis, 33(3):249–258, May 2000. URL: https://linkinghub.elsevier.com/retrieve/pii/S0167947399000572 (visited on 2022-12-17), doi:10.1016/S0167-9473(99)00057-2.
Markus Frey, Matthias Nau, and Christian F. Doeller. Magnetic resonance-based eye tracking using deep neural networks. Nature Neuroscience, 24(12):1772–1779, December 2021. URL: https://www.nature.com/articles/s41593-021-00947-w (visited on 2022-07-26), doi:10.1038/s41593-021-00947-w.
David C. Hoaglin, Boris Iglewicz, and John W. Tukey. Performance of Some Resistant Rules for Outlier Labeling. Journal of the American Statistical Association, 81(396):991–999, December 1986. URL: http://www.tandfonline.com/doi/abs/10.1080/01621459.1986.10478363 (visited on 2023-05-24), doi:10.1080/01621459.1986.10478363.
Joshua B. Julian, Alexandra T. Keinath, Giulia Frazzetta, and Russell A. Epstein. Human entorhinal cortex represents visual space using a boundary-anchored grid. Nature Neuroscience, 21(2):191–194, February 2018. URL: http://www.nature.com/articles/s41593-017-0049-1 (visited on 2022-12-16), doi:10.1038/s41593-017-0049-1.
Matthias Nau, Tobias Navarro Schröder, Jacob L. S. Bellmund, and Christian F. Doeller. Hexadirectional coding of visual space in human entorhinal cortex. Nature Neuroscience, 21(2):188–190, February 2018. URL: http://www.nature.com/articles/s41593-017-0050-8 (visited on 2022-12-16), doi:10.1038/s41593-017-0050-8.
Matthias Nau, Andreas Schindler, and Andreas Bartels. Real-motion signals in human early visual cortex. NeuroImage, 175:379–387, July 2018. URL: https://linkinghub.elsevier.com/retrieve/pii/S1053811918303021 (visited on 2022-12-16), doi:10.1016/j.neuroimage.2018.04.012.
Ignacio Polti, Matthias Nau, Raphael Kaplan, Virginie van Wassenhove, and Christian F Doeller. Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing. eLife, 11:e79027, November 2022. URL: https://elifesciences.org/articles/79027 (visited on 2022-12-16), doi:10.7554/eLife.79027.
Peter J. Rousseeuw and Christophe Croux. Alternatives to the Median Absolute Deviation. Journal of the American Statistical Association, 88(424):1273–1283, December 1993. URL: http://www.tandfonline.com/doi/abs/10.1080/01621459.1993.10476408 (visited on 2023-05-24), doi:10.1080/01621459.1993.10476408.