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All Publications

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2003

Dima, A., Scholz, M. and Obermayer, K. (2003). Automatic 3D-Graph Construction of Nerve Cells from Confocal Microscopy Scans [23]. Journal of Electronic Imaging, 12, 134 – 150.


Hoch, T., Wenning, G. and Obermayer, K. (2003). Adaptation using Local Information for Maximizing the Global Cost [24]. Neurocomputing, 52 – 54, 467-472.


Hoch, T., Wenning, G. and Obermayer, K. (2003). Optimal Noise-Aided Signal Transmission through Populations of Neurons [25]. Physical Review E, 68, 11911.


2002

Lund, J. and Obermayer, K. (2002). Visual Cortex: Anatomical Structure and Models of Function [26]. The Handbook of Brain Theory and Neural Networks. MIT Press, 1202 – 1205.,


Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2002). Automatic Extraction of Anatomical and Functional Brain Data from Autoradiographic Image Stacks [27]. Data analysis, physiological methods, statistics II, Soc. Neurosci. Abstr., 312.14.,


Schwabe, L. and Obermayer, K. (2002). Rapid Adaptation and Efficient Coding [28]. Biosystems, 67, 239 – 244.


Adorjan, P., Schwabe, L., Wenning, G. and Obermayer, K. (2002). Fast Adaptation as a Cortical Coding Strategy [29]. Neuroreport, 13, 337 – 342.


Bartsch, H. and Obermayer, K. (2002). A Structure Preserving Image Transformation as the Goal of Visual Sensory Coding [30]. Neurocomputing, 44-46, 729 – 734.


Vollgraf, R. and Obermayer, K. (2002). Multi Dimensional ICA to Separate Correlated Sources [31]. Advances in Neural Information Processing Systems 14. MIT Press, 993 – 1000.,


Wenning, G. and Obermayer, K. (2002). Adjusting Stochastic Resonance in a Leaky Integrate and Fire Neuron to Sub-threshold Stimulus Distributions [32]. Neurocomputing, 44-46, 225 – 231.


Wenning, G. and Obermayer, K. (2002). Activity Driven Adaptive Stochastic Resonance [33]. Advances in Neural Information Processing Systems 14. MIT Press, 301 – 308.,


Dima, A., Scholz, M. and Obermayer, K. (2002). Automatic Segmentation and Skeletonization of Neurons from Confocal Microscopy Images based on the 3D Wavelet Transform [34]. IEEE Trans. on Image Proc., 11, 790 – 801.


2001

Kim, H., Obermayer, K., Bode, M. and Ruswisch, D. (2001). A 1.2KBPS Speech Codec Using Spectral Vector Quantization of Differential Feature Vectors [35]. Proceedings ICSP, 304.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2001). Efficient Speech Enhancement by Diffusive Gain Factors (DGF) [36]. Proc. Eurospeech 2001, 1867 – 1870.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2001). Real-Time Noise Suppression Based on Diffusive Gain Factors [37]. Proceedings ICSP,


Normann, I., Purwins, H. and Obermayer, K. (2001). Octave Ambigous Tones [38]. Proceedings of the International Computer Music Conference 2001


Normann, I., Purwins, H. and Obermayer, K. (2001). Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones [39]. International Computer Music Conference, (1 – 3).,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2001). 3D Edge Detection to Define Landmarks for Point-based Warping in Brain Imaging [40]. International Conference on Image Processing - ICIP01. IEEE, 343 – 346.,10.1109/ICIP.2001.958498


Piepenbrock, C. and Obermayer, K. (2001). Cortical Orientation Map Development from Natural Images: the Role of Cortical Response Amplification in V1 [41]. Neural Coding of Perceptual Systems. World Scientific Publishers, 161 – 168.,


Purwins, H., Blankertz, B. and Obermayer, K. (2001). Constant Q Profiles for Tracking Modulations in Audio Data [42]. Proceedings of the International Computer Music Conference. IEEE, 274 – 276.,10.1109/IJCNN.2000.859408


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