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Inhalt des Dokuments

Modelle neuronaler Systeme



Ladenbauer, J. and Obermayer, K. (2019). Weak Electric Fields Promote Resonance in Neuronal Spiking Activity: Analytical Results from Two-compartment Cell and Network Models [4]. PLoS Computational Biology, 15


Meyer, R., Ladenbauer, J. and Obermayer, K. (2017). Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding [5]. Frontiers in Computational Neuroscience

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 [6]. PLoS Computational Biology, 13


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 [7]. PLOS Computional Biology, 12, e1005206.

Bielivtsov, D., Ladenbauer, J. and Obermayer, K. (2016). Controlling Statistical Moments of Stochastic Dynamical Networks [8]. Physical Review E, 94, 012306.


Ladenbauer, J., Augustin, M. and Obermayer, K. (2014). How Adaptation Currents Change Threshold, Gain and Variability of Neuronal Spiking [9]. Journal of Neurophysiology, 111, 939–953.


Ladenbauer, J., Lehnert, J., Rankoohi, H., Dahms, T., Schöll, E. and Obermayer, K. (2013). Adaptation Controls Synchrony and Cluster States of Coupled Threshold-Model Neurons [10]. Physical Review E, 88, 042713.

Augustin, M., Ladenbauer, J. and Obermayer, K. (2013). How Adaptation Shapes Spike Rate Oscillations in Recurrent Neuronal Networks [11]. Front. Comput. Neurosci., 7


Ladenbauer, J., Augustin, M., Shiau, L. and Obermayer, K. (2012). Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons [12]. PLoS Computational Biology, 8

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