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Ausgewählte Publikationen
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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 [3].
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 [4].
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
[5].
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 [6].
Phys. Rev. E, 2021
Cakan, C., Jajcay, N. and Obermayer, K.
(2021). neurolib: A Simulation Framework for Wholebrain Neural Mass
Modeling [7].
Cognit. Comput., 2021
Cakan, C. and Obermayer, K.
(2020). Biophysically grounded mean-field models of neural
populations under electrical stimulation [8].
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 [9].
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 [10].
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 [11].
PLoS Computational Biology, 15
Mergenthaler, K., Oschmann, F. and Obermayer,
K.
(2019). Glutamate Uptake by Astrocytic Transporters [12].
Computational Glioscience, 329-361.
Trowitzsch I., Schymura C., Kolossa D. and K.,
O.
(2019). Joining Sound Event Detection and Localization Through
Spatial Segregation [13].
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 [14].
Computational Biology, 15
Meyer, R., Ladenbauer, J. and Obermayer, K.
(2017). Influence of Mexican Hat Recurrent Connectivity on Noise
Correlations and Stimulus Encoding [15].
Frontiers in Computational Neuroscience
Trowitzsch, I., Mohr, J., Kashef, Y. and
Obermayer, K.
(2017). Robust Detection of Environmental Sounds in Binaural Auditory
Scenes [16].
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 [17].
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
[18].
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
[19].
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 [20].
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 [21].
PLoS Computional Biology, 13, 1 -27.
Bielivtsov, D., Ladenbauer, J. and Obermayer,
K.
(2016). Controlling Statistical Moments of Stochastic Dynamical
Networks [22].
Physical Review E, 94, 012306.
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