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All Publications

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2001

Purwins, H., Blankertz, B. and Obermayer, K. (2001). Modelle der Musikwahrnehmung zwischen auditorischer Neurophysiologie und Psychoakustik [23]. KlangForschung ?99. Pfau-Verlag, (1 – 21).,


Schwabe, L., Adorjan, P. and Obermayer, K. (2001). Spike-Frequency Adaptation as a Mechanism for Dynamic Coding in V1 [24]. Neurocomputing, 38 – 40, 351 – 358.


Stetter, M., Greve, H., Galizia, C. and Obermayer, K. (2001). Analysis of Calcium Imaging Signals from the Honeybee Brain by Nonlinear Models [25]. Neuroimage, 13, 119 – 128.


Bartsch, H., Stetter, M. and Obermayer, K. (2001). On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex [26]. Emergent Neural Computational Architectures Based on Neuroscience. Springer Berlin Heidelberg, 174 – 187.,10.1007/3-540-44597-8_13


Bartsch, H., Stetter, M. and Obermayer, K. (2001). Contextual Effects by Short Range Connections in a Mean-Field Model of V1 [27]. Neurocomputing, 38-40, 475 – 482.


Vollgraf, R., Schießl, I. and Obermayer, K. (2001). Blind Source Separation of Single Components from Linear Mixtures. [28]. Proc. Int. Conf. on Artificial Neural Networks - ICANN 01. Springer Berlin Heidelberg, 509 – 514.,10.1007/3-540-44668-0_71


Weber, C. and Obermayer, K. (2001). Emergence of Modularity within One Sheet of Neurons: a Model Comparison [29]. Emergent Neural Computational Architectures Based on Neuroscience. Springer Berlin Heidelberg, 53 – 67.,10.1007/3-540-44597-8_4


Dima, A., Scholz, M. and Obermayer, K. (2001). From Multiscale Edges to 3D-Graph Representations of Nerve Cells from Confocal Microscope Scans [30]. Proceedings of the International Conference of Computational Harmonic Analysis, 9 – 10.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2001). Modified Spectral Substraction using Diffusive Gain Factors [31]. Proceedings IEEE/EURASIP International Workshop on Acoustic Echo and Noise Control,


Hiesinger, P., Scholz, M., Meinertzhagen, I., Fischbach, K.-F. and Obermayer, K. (2001). Visualization of Synaptic Markers in the Optic Neuropils of Drosophila Using a New Constrained Deconvolution Method [32]. Journal of Comparative Neurology, 429, 277 – 288.


2000

Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2000). Real-time Noise Cancelling Based on Spectral Minimum Detection and Diffusive Gain Factors, [33]. Proceedings of the 8th Australian International Conference on Speech Science & Technology, 256 – 261.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2000). A 1.6 KBPS Speech Codec Using Spectral Vector Quantization of Differential Features [34]. Proceedings of the 8th Australian International Conference on Speech Science & Technology, 404 – 409.,


Kim, H., Obermayer, K. and Ruwisch, D. (2000). Real-Time Noise Cancelling with Spectral Diffusion [35]. Proceedings of the 1st IEEE Electro/Information Technology Conference, 206 – EIT 536.,


Krepki, R., Pe, Y., Meng, H. and Obermayer, K. (2000). A New Algorithm for the Interrogation of 3D Holographic PTV Data Based on Deterministic Annealing and EM-Optimization [36]. Exp. Fluids (Suppl.), 99 – 107.


Müller, T., Stetter, M., Hübener, M., Gödecke, I., Chapman, B., Löwel, S., Sengpiel, F., Bonhoeffer, T. and Obermayer, K. (2000). An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets [37]. Neural Computation, 12, 2573 – 2596.


Obermayer, K. (2000). Modeling the Formation of Sensory Representations in the Brain [38]. Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic, Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3. Springer Netherlands, 215 – 232.,10.1007/978-94-010-0870-9_16


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging [39]. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 28 – 32.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Point-Based Warping with Optimized Weighting Factors of Displacement Vectors. [40]. Medical Imaging 2000, 1387 – 1395.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging [41]. 4th IEEE Southwest Symposium on Image Analysis and Interpretation. IEEE, 264 – 268.,10.1109/IAI.2000.839612


Piepenbrock, C. and Obermayer, K. (2000). The Effect of Intracortical Competition on the Formation of Topographic Maps in Models of Hebbian Learning [42]. Biological Cybernetics, 82, 345 – 353.


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