All Publications

Goerttler, T. and Obermayer, K. (2021). Exploring the Similarity of Representations in Model-Agnostic Meta-Learning. Learning to Learn workshop at ICLR 2021

Müller, L., Ploner, M., Goerttler, T. and Obermayer, K. (2021). An Interactive Introduction to Model-Agnostic Meta-Learning. Workshop on Visualization for AI Explainability at IEEE VIS

Dimulescu, C., Gareayaghi, S., Kamp, F., Fromm, S., K., O. and Metzner, C. (2021). Structural Differences between Healthy Subjects and Patients with Schizophrenia and Schizoaffective Disorder: A Graph and Control Theoretical Perspective. Front. Psychiatry, 2021

Chouzouris, T., Roth, N., Cakan, C. and K., O. (2021). Applications of Optimal Nonlinear Control to a Whole-brain Network of FitzHugh-Nagumo Oscillators. Phys. Rev. E, 2021

Cakan, C., Jajcay, N. and Obermayer, K. (2021). neurolib: A Simulation Framework for Wholebrain Neural Mass Modeling. Cognit. Comput., 2021

Ramakrishnan, K. and Deniz, F. (2021). Complementarity of information in word-embedding and brain representations in distinguishing between concrete and abstract words. ,

Cakan, C., Dimulescu, C., Khakimova, L., Obst, D., Flöel, A. and Obermayer, K. (2022). Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleep. Frontiers in Computational Neuroscience, 15, 800101.

Jajcay, N., Cakan, C. and Obermayer, K. (2022). Cross-frequency slow oscillation-spindle coupling in a biophysically realistic thalamocortical neural mass model. Frontiers in Computational Neuroscience, 16, 769860.

Goerttler, T., Müller, L. and Obermayer, K. (2022). Representation Change in Model-Agnostic Meta-Learning. ICLR Blog Track

Seidel, R., Jahn, N., Seo, S., Goerttler, T. and Obermayer, K. (2022). NAPC: A Neural Algorithm for Automated Passenger Counting in Public Transport on a Privacy-Friendly Dataset. IEEE Open Journal of Intelligent Transportation Systems, 3, 33-44.