Neuronale Informationsverarbeitung

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 [7]. Frontiers in Computational Neuroscience, 15, 800101.

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 [8]. IEEE Open Journal of Intelligent Transportation Systems, 3, 33-44.

Müller, L., Ploner, M., Goerttler, T. and Obermayer, K. (2021). An Interactive Introduction to Model-Agnostic Meta-Learning [9]. Workshop on Visualization for AI Explainability at IEEE VIS

Chouzouris, T., Roth, N., Cakan, C. and K., O. (2021). Applications of Optimal Nonlinear Control to a Whole-brain Network of FitzHugh-Nagumo Oscillators [10]. Phys. Rev. E, 2021

Cakan, C., Jajcay, N. and Obermayer, K. (2021). neurolib: A Simulation Framework for Wholebrain Neural Mass Modeling [11]. Cognit. Comput., 2021

Cakan, C. and Obermayer, K. (2020). Biophysically grounded mean-field models of neural populations under electrical stimulation [12]. PLOS Computational Biology, 2020

Koren, V., Andrei, A., Hu, M., Dragol, V. and Obermayer, K. (2020). Pair-wise Synchrony and Correlations Depend on the Structure of the Population Code in Visual Cortex [13]. Cell Reports, 2020

Seo, S., Beck, A., Matthis, C., Genauck, A., Banaschewski, T., Bokde, A., Bromberg, U., Büchel, C., Quinlan, E., Flor, H., Frouin, V., Garavan, H., Gowland, P., Ittermann, B., Martinot, J., Martinot, M., Nees, F., Orfanos, D., Poustka, L., Hohmann, S., Froehner, J., Smolka, M., Walter, H., Whelan, R., Desrivieres, S., Heinz, A., Schumann, G. and Obermayer, K. (2019). Risk Profiles for Heavy Drinking in Adolescence: Differential Effects of Gender [14]. Addiction Biology, 24, 787-801.

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

Mergenthaler, K., Oschmann, F. and Obermayer, K. (2019). Glutamate Uptake by Astrocytic Transporters [16]. Computational Glioscience, 329-361.

Trowitzsch I., Schymura C., Kolossa D. and K., O. (2019). Joining Sound Event Detection and Localization Through Spatial Segregation [17]. IEEE Trans. Audio Speech Language Proc.

Aspart, F., Remme, M. and Obermayer, K. (2018). Differential Polarization of Cortical Pyramidal Neuron Dendrites through Weak Extracellular Fields [18]. Computational Biology, 15

Meyer, R., Ladenbauer, J. and Obermayer, K. (2017). Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding [19]. Frontiers in Computational Neuroscience

Trowitzsch, I., Mohr, J., Kashef, Y. and Obermayer, K. (2017). Robust Detection of Environmental Sounds in Binaural Auditory Scenes [20]. IEEE Transactions on Audio Speech and Language Processing, 25, 1344-1356.

Oschmann, F., Mergenthaler, K., Jungnickel, E. and Obermayer, K. (2017). Spatial Separation of Two Different Pathways Accounting for the Generation of Calcium Signals in Astrocytes [21]. PLoS Computational Biology, 13

Augustin, M., Ladenbauer, J., Baumann, F. and Obermayer, K. (2017). Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation [22]. PLoS Computational Biology, 13

Guo, R., Böhmer, W., Hebart, M., Chien, S., Sommer, T., Obermayer, K. and Gläscher, J. (2016). Interaction of Instrumental and Goal-directed Learning Modulates Prediction Error Representations in the Ventral Striatum [23]. Journal of Neuroscience, 36, 12650-12660.

Aspart, F., Ladenbauer, J. and Obermayer, K. (2016). Extending Integrate-and-fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite [24]. PLOS Computional Biology, 12, e1005206.

Donner, C., Obermayer, K. and Shimazaki, H. (2016). Approximate Inference for Time-varying Interactions and Macroscopic Dynamics of Neural Populations [25]. PLoS Computional Biology, 13, 1 -27.

Bielivtsov, D., Ladenbauer, J. and Obermayer, K. (2016). Controlling Statistical Moments of Stochastic Dynamical Networks [26]. Physical Review E, 94, 012306.