Preprints

  1. M. Schottdorf, P.D. Rich, E.M. Diamanti, A. Lin, S. Tafazoli, E.H. Nieh, S.Y. Thiberge: “TWINKLE: An open-source two-photon microscope for teaching and research”, BioRxiv, 2024 Sept 23.
  2. S. Koukuntla, J.B. Julian, J.C. Kaminsky, M. Schottdorf, D.W. Tank, C.D. Brody, A.S. Charles: “Unsupervised discovery of the shared and private geometry in multi-view data”, Arxiv, 2024 Aug 22.
  3. C. Gillon, C. Baker, R. Ly, E. Balzani, B. Brunton, M. Schottdorf, S. Ghosh, N. Dehghani: “ODIN: Open Data In Neurophysiology: Advancements, Solutions & Challenges”, Arxiv, 2024 July 1.
  4. L.S. Brown, J.R. Cho, S.S. Bolkan, E.H. Nieh, M. Schottdorf, D.W. Tank, C.D. Brody, I.B. Witten, M.S. Goldman: “Neural circuit models for evidence accumulation through choice-selective sequences”, BioRxiv, 2024 Feb 19.

Journal articles

  1. M. Schottdorf, G. Yu, E.Y. Walker: “Data science and its future in large neuroscience collaborations”, Neuron 112(18): 3007-3012 (2024)
  2. J. LaChance*, M. Schottdorf*, T.J. Zajdel, J.L. Saunders, S. Dvali, C. Marshall, L. Seirup, I. Sammour, R.L. Chatburn, D.A. Notterman, D.J. Cohen: “PVP1–The People’s Ventilator Project: A fully open, low-cost, pressure-controlled ventilator research platform compatible with adult and pediatric uses”, PLoS ONE 17(5): e0266810 (2022)
  3. D. Suo, U. Ghai, E. Minasyan, P. Gradu, X. Chen, N. Agarwal, C. Zhang, K. Singh, J. LaChance, T. Zajdel, M. Schottdorf, D. Cohen, E. Hazan: “Machine Learning for Medical Ventilator Control”, Machine Learning for Health (ML4H), available on arXiv: 2102.06779 (2022)
  4. E.H. Nieh*, M. Schottdorf*, N. Freeman, R. Low, S. Lewallen, S.-A. Koay, L. Pinto, J. Gauthier, C.D. Brody, D.W. Tank: “Geometry of abstract learned knowledge in the hippocampus”, Nature 595: 80-84 (2021)
  5. M. Schottdorf, B.B. Lee: “A quantitative description of macaque ganglion cell responses to natural scenes: the interplay of time and space”, J. Physiology 599: 3169-3193 (2021)
  6. C.L.A. Ho*, R. Zimmermann*, J.D.F. Weidinger, M. Prsa, M. Schottdorf, S. Merlin, T. Okamoto, K. Ikezoe, F. Pifferi, F. Aujard, A. Angelucci, F. Wolf, D. Huber: “Orientation Preference Maps in Microcebus murinus Reveal Size-Invariant Design Principles in Primate Visual Cortex”, Current Biology 31: 1-9 (2021)
  7. D.B. Nestvogel, R.M. Merino, C.L. Pinzon, M. Schottdorf, C. Lee, C. Imig, N. Brose, J.-S. Rhee: “The Synaptic Vesicle Priming Protein CAPS-1 Shapes the Adaptation of Sensory Evoked Responses in Mouse Visual Cortex”, Cell Reports 30: 3261-3269 (2020)
  8. M. Helmer, M. Schottdorf, A. Neef, D. Battaglia: “Gender bias in peer-review”, eLife 6: e21718 (2017)
  9. R. Samhaber*, M. Schottdorf*, A. El Hady*, K. Bröking, A. Daus, C. Thielemann, W. Stühmer, F. Wolf: “Growing neuronal islands on multi-electrode arrays using an Accurate Positioning-µCP device”, J. Neurosc. Methods 257(1): 194-203 (2016)
  10. M. Schottdorf*, W. Keil*, D. Coppola, L. White, F. Wolf: “Random wiring, ganglion cell mosaics, and the functional architecture of the visual cortex”, PLoS Comp. Bio. 11(11): e1004602 (2015)
  11. M. Schottdorf, S. Eglen, F. Wolf, W. Keil: “Can Retinal Ganglion Cell Dipoles Seed Iso-Orientation Domains in the Visual Cortex?”, PLoS ONE 9(1): e86139 (2014)
  12. M. Schottdorf, B. Hofmann, E. Kätelhön, A. Offenhäusser, B. Wolfrum: “Frequency-dependent signal transfer at the interface between electrogenic cells and nanocavity electrodes”, Phys. Rev. E 85: 031917 (2012)
  13. B. Hofmann, E. Kätelhön, M. Schottdorf, A. Offenhäusser, B. Wolfrum “Nanocavity electrode array for recording from electrogenic cells”, Lab on a Chip 11: 1054-1058 (2011)