Khakimova, L., Malinowski, R., Obst, D., Tönnies, E., Antonenko, D., Obermayer, K., Hanna, J., & Flöel, A. (In press). "Towards Optimization of Oscillatory Stimulation during Sleep" , Neuromodulation .

Alevi, D., Stimberg, M., Sprekeler, H., Obermayer, K., & Augustin, M. (In press). "Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs" , Front. Neuroinform. .

Duan, X., Obermayer, K., & Xie, S. (2022). "A Transfer Learning-based Feedback Training Motivates the Performance of SMR-BCI" , Journal of Neural Engineering .

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

DOI

https://www.biorxiv.org/content/10.1101/2021.08.29.458101v2

(2022). "Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures" .

Seidel, R., Jahn, N., Seo, S., Goerttler, T., & 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.

DOI

10.1109/OJITS.2021.3139393

Salfenmoser, L., & Obermayer, K. (2022). "Nonlinear Optimal Control of a Mean-field Model of Neural Population Dynamics" , Front. Comput. Neurosci. , 16 ,

Goerttler, T., Müller, L., & Obermayer, K. (2022). "Representation Change in Model-Agnostic Meta-Learning" .

Cakan, C., Dimulescu, C., Khakimova, L., Obst, D., Flöel, A., & 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.

DOI

https://doi.org/10.3389/fncom.2021.800101

Rebscher, L., Obermayer, K., & Metzner, C. (2022). "Synchronization through Uncorrelated Noise in Excitatory-Inhibitory Networks" , Front. Comput. Neurosci. , 16 ,

Cakan, C., Jajcay, N., & Obermayer, K. (2021). "neurolib: A Simulation Framework for Whole-brain Neural Mass Modeling" , Cognit. Comput. , 2021 ,

DOI

10.1007/s12559-021-09931-9

Dimulescu, C., Gareayaghi, S., Kamp, F., Fromm, S., K., O., & Metzner, C. (2021). "Structural Differences between Healthy Subjects and Patients with Schizophrenia and Schizoaffective Disorder: A Graph and Control Theoretical Perspective" , Front. Psychiatry , 2021 (12),

DOI

10.3389/fpsyt.2021.669783

Müller, L., Ploner, M., Goerttler, T., & Obermayer, K. (2021). "An Interactive Introduction to Model-Agnostic Meta-Learning" .

Datei

https://interactive-maml.github.io/

Goerttler, T., & Obermayer, K. (2021). "Exploring the Similarity of Representations in Model-Agnostic Meta-Learning" .

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

Chouzouris, T., Roth, N., Cakan, C., & K., O. (2021). "Applications of Optimal Nonlinear Control to a Whole-brain Network of FitzHugh-Nagumo Oscillators" , Phys. Rev. E , 2021 (104),

Cakan, C., & Obermayer, K. (2020). "Biophysically grounded mean-field models of neural populations under electrical stimulation" , PLOS Computational Biology , 2020 ,

Koren, V., Andrei, A., Hu, M., Dragol, V., & Obermayer, K. (2020). "Pair-wise Synchrony and Correlations Depend on the Structure of the Population Code in Visual Cortex" , Cell Reports , 2020 ,

Koren, V., Andrei, A., Hu, M., Dragoi, V., & Obermayer, K. (2019, Okt.). "Reading-out task variables as a low-dimensional reconstruction of parallel spike trains in single trials" , PLoS ONE , 14(10) , 24.

DOI

https://doi.org/10.1371/journal.pone.0222649

Ladenbauer, J., & Obermayer, K. (2019). "Weak Electric Fields Promote Resonance in Neuronal Spiking Activity: Analytical Results from Two-compartment Cell and Network Models" , PLoS Computational Biology , 15 (e1006974),