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Onken, A., Grünewälder, S., Munk, M. H. J., and Obermayer, K. (2010). A Maximum Entropy Mutual Information Test for Spike Counts of V1. [23]. Society for Neuroscience Annual Meeting 2010, San Diego, California.

Onken, A., Grünewälder, S., Munk, M.H.J., and Obermayer, K. (2010). A Non-Stationary Copula-Based Spike Count Model [24]. Computational and Systems Neuroscience

Onken, A., Grünewälder, S., Munk, M.H.J., and Obermayer, K. (2009). Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation [25]. PLoS Comput. Biol.. Public Library of Science, e1000577.

Onken, A., Grünewälder, S., Munk, M., and Obermayer, K. (2008). Modeling Short-Term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex [26]. Advances in Neural Information Processing Systems, 1233–1240.

Onken, A., Grünewälder, S., and Obermayer, K. (2009). Correlation Coefficients Are Insufficient for Analyzing Spike Count Dependencies [27]. Advances in Neural Information Processing Systems. Citeseer, 1383-1391.

Onken, A., and Obermayer, K. (2008). Modeling Spike-Count Dependence Structures with Multivariate Poisson Distributions [28]. BMC Neuroscience. BioMed Central Ltd, P127.

Onken, A., Grünewälder, S., and Obermayer, K. (2009). Extensions to copula based modeling of spike counts [29]. Front. in Comput. Neurosci.

Onken, A., and Obermayer, K. (2008). Stimulus-Independence of Noise Correlations is Beneficial for Short-Term Population Coding in MT [30]. Neuron, 4.

Onken, A., and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts [31]. J. Phys.: Conf. Ser.. IOP Publishing, 012019.

Onken, A. (2011). Stochastic Analysis of Neural Spike Count Dependencies [32]. Technische Universität Berlin

Onken, A., Dragoi, V., and Obermayer, K. (2012). A maximum entropy test for evaluating higher-order correlations in spike counts [33]. PLoS Comput. Biol., e1002539.

Oganian, Y., and Ahissar, M. (2012). Poor anchoring limits dyslexics' perceptual, memory, and reading skills [34]. Neuropsychologia, 1895-1905.

Oganian, Y., Conrad, M., Aryani, A., Spalek, K., and Heekeren, H.R. (2012). Model-based variation of sublexical variables predicts language decisions in bilinguals [35]. BCCN Symposium 2012


Natora, M., Franke, F., Munk, M.H., and Obermayer, K. (2009). Blind Source Separation of Sparse, Overcomplete Mixtures and Application to Neural Recordings [36]. In Proceedings ICA'2009, 459-466.

Natora, M., Franke, F., Broda, S., and Obermayer, K. (2010). Optimal Steering Vector Adaptation for Linear Filters Leading to Robust Beamforming [37]. 4th International Symposium on Communications, Control and Signal Processing, Cyprus

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