FB 6 Mathematik/Informatik/Physik

Institut für Mathematik


Navigation und Suche der Universität Osnabrück


Hauptinhalt

Topinformationen

Projects at the intersection of neuroscience and machine learning

8.3593

Dozenten

Beschreibung

Content and goal:
In this course, you will work on your own in-depth project, either alone or (preferably) with at least one other student. The projects can be chosen from a list provided by the instructors or decided jointly with students and instructors. The course will begin with in-depth discussions to help you decide the details of the projects. In the subsequent weekly meetings, you will provide brief summaries of your progress - what is done, what are the roadblocks, and what are the next steps, and the group and instructors will provide guidance on how to proceed further. Students will be required to review each-other’s code to learn to write clearly/accessibly, and to take the perspective of an external code-reviewer. By the end you will have completed a project at the intersection of neuroscience and machine learning, you will have learned to review code, to communicate problems, and you will have gotten an in-depth insight into the research field as such. You will be required to document your project in the form of a research paper or a thesis.

This is a work intensive course with two meetings each week. One meeting is to be an active part of the lab colloquium: to inform yourselves about other work in the area, to contextualise your work, and to present your plans and work. Another weekly meeting is for course-members only and will be used to discuss the project, code, progress, roadblocks, etc.

Course requirements:
Master students or advanced bachelor students with the following experiences/coursework completed:
- Proficiency in programming with python
- Introduction to Linear Algebra
- Neuroscience basics (e.g. Action and Cognition (Vision))
- Implementing ANNs in Tensorflow or Machine Learning for Cognitive Computational Neuroscience

Number of participants:
The number of participants of this course is limited to ensure that we can offer the best in-depth project guidance and support. If more students than the maximum number apply, we will choose a subgroup based on fulfilment of course criteria/past experience and motivation letters. The exact procedure will be communicated in the first session once we can tell how many students exactly are actively parttaking.

Course application:
If you are interested in taking part in the course, please provide proof that you fulfil the course criteria (see above) as well as a short motivation letter (250 words max).

Grading:
If you participate with a *standalone* project your grade will be based on your project, documentation and your active participation in the weekly meetings. If you take this seminar alongside your thesis work, no credit/grade can be given.

Weitere Angaben

Ort: 50/E07: Mi. 10:00 - 12:00 (12x), 50/E04: Mi. 14:00 - 16:00 (13x)
Zeiten: Mi. 10:00 - 12:00 (wöchentlich), Ort: 50/E07, Mi. 14:00 - 16:00 (wöchentlich), Ort: 50/E04
Erster Termin: Mittwoch, 03.04.2024 14:00 - 16:00, Ort: 50/E04
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Bachelor-Programm
  • Cognitive Science > Master-Programm
  • Human Sciences (e.g. Cognitive Science, Psychology)

Past and Forthcoming Events

Publications

  • Asymptotics of a time-bounded cylinder model, with N. Aschenbruck and S. Bussmann, Probability in the Engineering and Informational Sciences, https://doi.org/10.1017/S0269964822000420
  • The method of cumulants for the normal approximation, with S. Jansen and K. Schubert, Probability Surveys 2022, Vol. 19, 185-270, https://doi.org/10.1214/22-PS7
  • Sedentary Random Waypoint, with C. Betken, arXiv:2009.02941
  • The Impact of Bit Errors on Intra-Session Network Coding with Heterogeneous Packet Lengths, with B. Schütz, N. Aschenbruck, S. Bussmann and M. Juhnke-Kubitzke, Proc. of the 45th IEEE LCN Symposium on Emerging Topics in Networking LCN, virtually hosted in Sydney, Australia, Nov. 16–19, 2020.
  • Stationarity for the Small World in Motion Mobility Model, with Nils Aschenbruck, Christian Heiden und Matthias Schwamborn, MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Nov 25-29, 2019, https://doi.org/10.1145/3345768.3355935
  • Crossing Numbers and Stress of Random Graphs, with Markus Chimani and Matthias Reitzner, In Proceedings 26th International Symposium, GD 2018, Barcelona, Spain, 255--268, 2018 available here and for an extended journal version here: https://arxiv.org/abs/1808.07558
  • Fluctuations in a general preferential attachment model via Stein's method, with Carina Betken and Marcel Ortgiese, Random Structures & algorithms, vol.55, no.4, 2019 available here
  • Connection times in large ad-hoc mobile networks, Bernoulli, vol.22, no.4, 2143--2176, 2016 available here
    with Gabriel Faraud, Wolfgang König
  • The random disc thrower problem, Proceedings of the 90th European Study Group Mathematics with Industry, 59-78, 2013  available here with T. van der Aalst, D. Denteneer, M. Hong Duong, R. J. Kang, M. Keane, J. Kool, I. Kryven, T. Meyfroyt, T. Müller, G. Regts, J. Tomczyk
  • Edge fluctuations of eigenvalues of Wigner matrices, High Dimensional Probability VI: the Banff volume, Progress in Probability, vol.66, 261-275, Springer, Basel, 2013 available here
    with Peter Eichelsbacher
  • Moderate deviations for the determinant of Wigner matrices, Dedicated to Friedrich Götze on the occasion of his sixtieth birthday, Limit Theorems in Probability, Statistics and Number Theory, Springer Proceedings in Mathematics & Statistics, vol.42, 253-275, 2013, available here
    with Peter Eichelsbacher
  • Moderate deviations for the eigenvalue counting function of Wigner matrices, ALEA, Lat. Am. J. Probab. Math. Stat. 10 (1), 27-44, 2013, available here
    with Peter Eichelsbacher
  • Moderate deviations via cumulants, Journal of Theor. Probability, 2012, available here
    with Peter Eichelsbacher
  • Moments of recurrence times for Markov chains, Electronic Comm. Probab., 16(28), 296-303, 2011, available here
    with Frank Aurzada, Marcel Ortgiese, Michael Scheutzow
  • Moderate deviations in a random graph and for the spectrum of Bernoulli random matrices, Electronic Journal of Probability, Vol. 14, Paper no. 92, 2636-2656, 2009, available here
    with Peter Eichelsbacher
  • Perpendicular transport of charged particles in slab turbulence: recovery of diffusion for realistic wave-spectra?, Journal of Physics G: Nuclear and Particle Physics, 35, 025202, 2008
    with Andreas Shalchi
  • Velocity correlation functions of charged test particles, Journal of Physics G: Nuclear and Particle Physics, 34, 859, 2007
    with Andreas Shalchi