Researcher Portfolio
Sinz, Fabian H
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, Max Planck Institute for Biological Cybernetics, Max Planck Society, Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society
Researcher Profile
Position: Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society
Additional IDs: ORCID:
https://orcid.org/0000-0002-1348-9736
MPIKYB: fabee
MPIKYB: fabee
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons84226
Publications
(1 - 25 of 39)
: Bashiri, M., Walker, E., Lurz, K.-K., Jagadish, A., Muhammad, T., Ding, Z., Tolias, A., & Sinz, F. (2021). A flow-based latent state generative model of neural population responses to natural images. Poster presented at Bernstein Conference 2021. doi:10.12751/nncn.bc2021.p047. [PubMan] : Lurz, K.-K., Bashiri, M., Willeke, K., Jagadish, A., Wang, E., Walker, E., Cadena, S., Muhammad, T., Cobos, E., Tolias, A., Ecker, A., & Sinz, F. (2021). Generalization in data-driven models of primary visual cortex. In Ninth International Conference on Learning Representations (ICLR 2021). [PubMan] : Sinz, F., Pitkow, X., Reimer, J., Bethge, M., & Tolias, A. (2019). Engineering a Less Artificial Intelligence. Neuron, 103(6), 967-979. doi:10.1016/j.neuron.2019.08.034. [PubMan] : Ecker, A., Sinz, F., Froudarakis, E., Fahey, P., Cadena, S., Walker, E., Cobos, E., Reimer, J., Tolias, A., & Bethge, M. (2019). A rotation-equivariant convolutional neural network model of primary visual cortex. In Seventh International Conference on Learning Representations (ICLR 2019) (pp. 1-11). [PubMan] : Reimer, J., Yatsenko, D., Ecker, A., Walker, E., Sinz, F., Berens, P., Hoenselaar, A., Cotton, R., Siapas, A., & Tolias, A. (2016). DataJoint: Managing Big Scientific Data Using Matlab or Python. Poster presented at AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece. [PubMan] : Cadwell, C., Jiang, X., Sinz, F., Berens, P., Fahey, P., Yatsenko, D., Froudarakis, E., Ecker, A., Cotton, R., & Tolias, A. (2016). Cell Lineage Directs teh Precise Assembly of Excitatory Neocortical Circuits. Poster presented at AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece. [PubMan] : Jiang, X., Shen, S., Cadwell, C., Berens, P., Sinz, F., Ecker, A., Patel, S., & Tolias, A. (2015). Principles of connectivity among morphologically defined cell types in adult neocortex. Science, 350(6264), aac9462-1-aac9462-10. doi:10.1126/science.aac9462. [PubMan] : Sinz, F., Lies, J.-P., Gerwinn, S., & Bethge, M. (2014). Natter: A Python Natural Image Statistics Toolbox. Journal of Statistical Software, 61(5), 1-34. [PubMan] : Froudarakis, A., Berens, P., Ecker, A., Cotton, R., Sinz, F., Yatsenko, D., Saggau, P., Bethge, M., & Tolias, A. (2014). Population Code in Mouse V1 Facilities Read-out of Natural Scenes through Increased Sparseness. Poster presented at AREADNE 2014: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece. [PubMan] : Froudarakis, E., Berens, P., Ecker, A., Cotton, R., Sinz, F., Yatsenko, D., Saggau, P., Bethge, M., & Tolias, A. (2014). Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience, 17(6), 851-857. doi:10.1038/nn.3707. [PubMan] : Sinz, F., & Bethge, M. (2013). What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Computation, 25(11), 2809-2814. doi:10.1162/NECO_a_00505. [PubMan] : Sinz, F., & Bethge, M. (2013). Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Computational Biology, 9(1), 1-13. doi:10.1371/journal.pcbi.1002889. [PubMan] : Sinz, F., & Bethge, M. (2012). Temporal adaptation enhances efficient contrast gain control on natural images. Poster presented at Bernstein Conference 2012, München, Germany. doi:10.3389/conf.fncom.2012.55.00048. [PubMan] : Theis, L., Gerwinn, S., Sinz, F., & Bethge, M. (2011). In All Likelihood, Deep Belief Is Not Enough. The Journal of Machine Learning Research, 12, 3071-3096. [PubMan] : Sinz, F., & Bethge, M. (2010). Lp-Nested Symmetric Distributions. The Journal of Machine Learning Research, 11, 3409-3451. [PubMan] : Hosseini, R., Sinz, F., & Bethge, M. (2010). Lower bounds on the redundancy of natural images. Vision Research, 50(22), 2213-2222. doi:10.1016/j.visres.2010.07.025. [PubMan] : Theis, L., Gerwinn, S., Sinz, F., & Bethge, M. (2010). Likelihood Estimation in Deep Belief Networks. Poster presented at Bernstein Conference on Computational Neuroscience (BCCN 2010), Berlin, Germany. doi:10.3389/conf.fncom.2010.51.00116. [PubMan] : Hosseini, R., Sinz, F., & Bethge, M. (2010). New Estimate for the Redundancy of Natural Images. Poster presented at Bernstein Conference on Computational Neuroscience (BCCN 2010), Berlin, Germany. doi:10.3389/conf.fncom.2010.51.00006. [PubMan] : Sinz, F., Simoncelli, E., & Bethge, M. (2010). Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds. ), Advances in Neural Information Processing Systems 22 (pp. 1696-1704). Red Hook, NY, USA: Curran. [PubMan] : Sinz, F. (2010). Contrast Gain Control in Natural Image Representations. Talk presented at UCL Gatsby Computational Neuroscience Unit. London, UK. 2010-01-27. [PubMan] : Sinz, F., & Bethge, M. (2009). A new class of distributions for natural images generalizing independent subspace analysis. Poster presented at Bernstein Conference on Computational Neuroscience (BCCN 2009), Frankfurt a.M., Germany. doi:10.3389/conf.neuro.10.2009.14.127. [PubMan] : Sinz, F., & Bethge, M. (2009). The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds. ), Advances in neural information processing systems 21 (pp. 1521-1528). Red Hook, NY, USA: Curran. [PubMan] : Sinz, F., Gerwinn, S., & Bethge, M. (2009). Characterization of the p-Generalized Normal Distribution. Journal of Multivariate Analysis, 100(5), 817-820. doi:10.1016/j.jmva.2008.07.006. [PubMan] : Eichhorn, J., Sinz, F., & Bethge, M. (2009). Natural Image Coding in V1: How Much Use is Orientation Selectivity? PLoS Computational Biology, 5(4), 1-16. doi:doi:10.1371/journal.pcbi.1000336. [PubMan] : Sinz, F., & Bethge, M. (2008). The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction in Natural Images. Poster presented at Bernstein Symposium 2008, München, Germany. [PubMan]