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Journal Publications

A

Adiloglu, K., Annies, R., Wahlen, E., Purwins, H. and Obermayer, K. (2012). A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Transactions on Audio, Speech, and Language Processing, 1542 - 1552.


Adiloglu, K., Noll, T. and Obermayer, K. (2006). A Paradigmatic Approach to Extract the Melodic Structure of a Musical Piece. Journal New Music Research, 35, 221 – 236.


Adorjan, P., Barna, G., Erdi, P. and Obermayer, K. (1999). A Statistical Neural Field Approach To Orientation Selectivity. Neurocomputing, 26-27, 313 – 318.


Adorjan, P., Levitt, J., Lund, J. and Obermayer, K. (1999). A Model for the Intracortical Origin of Orientation Preference and Tuning in Macaque Striate Cortex. Visual Neuroscience, 16, 303 – 318.


Adorjan, P., Piepenbrock, C. and Obermayer, K. (1999). Contrast Adaptation and Infomax in Visual Cortical Neurons. Review Neuroscience, 10, 181 – 200.


Adorjan, P., Schwabe, L., Wenning, G. and Obermayer, K. (2002). Fast Adaptation as a Cortical Coding Strategy. Neuroreport, 13, 337 – 342.


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


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. PLOS Computional Biology, 12, e1005206.


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


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. PLoS Computational Biology, 13


B

Balta Beylergila, S., Beck, A., Deserno, L., Lorenz, R., Rapp, M., Schlagenhauf, F., Heinz, A. and Obermayer, K. (2017). Dorsolateral prefrontal cortex contributes to the impaired behavioral adaptation in alcohol dependence. Neuroimage: Clinical, 15, 80–94.


Bartsch, H., Hochreiter, S. and Obermayer, K. (2004). Learning Quadratic Forms by Density Estimation and its Application to Image Coding. Neurocomputing


Bartsch, H. and Obermayer, K. (2003). Second Order Statistics of Natural Images. Neurocomputing, 52-54, 541 – 546.


Bartsch, H. and Obermayer, K. (2002). A Structure Preserving Image Transformation as the Goal of Visual Sensory Coding. Neurocomputing, 44-46, 729 – 734.


Bartsch, H., Stetter, M. and Obermayer, K. (2001). Contextual Effects by Short Range Connections in a Mean-Field Model of V1. Neurocomputing, 38-40, 475 – 482.


Bartsch, H., Stetter, M. and Obermayer, K. (2000). The Influence of Threshold Variability on the Response of Visual Cortical Neurons. Neurocomputing, 32–32, 37 – 43.


Bauer, U., Scholz, M., Levitt, J., Obermayer, K. and Lund, J. (1999). A Model for the Depth-Dependence of Receptive Field Size and Contrast Sensitivity of Cells in Layer 4C of Macaque Striate Cortex. Vision Research, 39, 613 – 629.


Beck, O., Chistiakova, M., Obermayer, K. and Volgushev, M. (2005). Adaptation of Synaptic Connections to Layer 2/3 Pyramidal Cells in Rat Visual Cortex. Journal of Neurophysiology, 94, 363 – 376.


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



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