direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

All Publications


Schwabe, L., Adorjan, P. and Obermayer, K. (2001). Spike-Frequency Adaptation as a Mechanism for Dynamic Coding in V1. Neurocomputing, 38 – 40, 351 – 358.

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

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.

Stimberg, M., Hoch, T. and Obermayer, K. (2007). The Effect of Background Noise on the Precision of Pulse Packet Propagation in Feed-Forward Networks. Neurocomputing, 70, 1824 – 1828.

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.

Wenning, G. and Obermayer, K. (2002). Adjusting Stochastic Resonance in a Leaky Integrate and Fire Neuron to Sub-threshold Stimulus Distributions. Neurocomputing, 44-46, 225 – 231.

Graepel, T., Burger, M. and Obermayer, K. (1998). Self-Organizing Maps: Generalizations and New Optimization Techniques. Neurocomputing, 20, 173 – 190.

Hoch, T., Wenning, G. and Obermayer, K. (2003). Adaptation using Local Information for Maximizing the Global Cost. Neurocomputing, 52 – 54, 467-472.

Pielot, R., Scholz, M., Obermayer, K., Scheich, H., Gundelfinger, E. and Hess, A. (2003). A New Point-Based Warping Method for Enhanced and Simplified Analysis of Functional Brain Image Data. Neuroimage, 19, 1716 – 1729.

Puls, I., Mohr, J., Wrase, J., Vollstaedt-Klein, S., Lemenager, T., Vollmert, C., Rapp, M., Obermayer, K., Heinz, A. and Smolka, M. (2009). A Model Comparison of COMT Effects on Central Processing of Affective Stimuli. Neuroimage, 46, 683 – 691.

Schmitt, S., Evers, J.-F., Duch, C., Scholz, M. and Obermayer, K. (2004). New Methods for the Computer-Assisted 3D Reconstruction of Neurons from Confocal Image Stacks. Neuroimage, 23, 1283 – 1298.

Tobia, M. J., Guo, R., Schwarze, U., Böhmer, W., Gläscher, J., Finckh, B., Marschner, A., Büchel, C., Obermayer, K. and Sommer, T. (2014). Neural Systems for Choice and Valuation with Counterfactual Learning Signals. NeuroImage, 89, 57-69.

Stetter, M., Greve, H., Galizia, C. and Obermayer, K. (2001). Analysis of Calcium Imaging Signals from the Honeybee Brain by Nonlinear Models. Neuroimage, 13, 119 – 128.

Stetter, M., Schießl, I., Otto, T., Sengpiel, F., Hübener, M., Bonhoeffer, T. and Obermayer, K. (2000). Principal Component Analysis and Blind Separation of Sources for Optical Imaging of Intrinsic Signals. Neuroimage, 11, 482 – 490.

Tobia, M. J., Guo, R., Schwarze, U., Böhmer, W., Gläscher, J., Finckh, B., Marschner, A., Büchel, C., Obermayer, K. and Sommer, T. (2014). Counterfactual Q-learning in a Strategic Sequential Investment Task: Serotonergic and Dopaminergic Involvement in the Medial Prefrontal Cortex and Striatum. Neuroimage

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.

Stetter, M., Lang, E. and Obermayer, K. (1998). Unspecific long-term potentiation can evoke functional segregation in a model of area 17. Neuroreport, 9, 2697 – 2702.

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions