Prof. Dr. Alexander S. Ecker

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  • 2022 | Journal Article | 
    ​ ​Goldin, M. A., Lefebvre, B., Virgili, S., Pham Van Cang, M. K., Ecker, A., Mora, T., Ferrari, U. ... Marre, O. (2022). ​Context-dependent selectivity to natural images in the retina. Nature Communications, 13(1), . ​doi: https://doi.org/10.1038/s41467-022-33242-8 
    ​Details  DOI 
  • 2021 | Lecture
    ​ ​Ecker, A. S. (2021). ​Künstliche Intelligenz: Was ist das und warum reden alle darüber?​​. 
    ​Details 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Burg, M. F., Cadena, S. A., Denfield, G. H., Walker, E. Y., Tolias, A. S., Bethge, M. & Ecker, A. S. (2021). ​Learning divisive normalization in primary visual cortex. PLoS Computational Biology, 17(6), ​e1009028​. ​doi: https://doi.org/10.1371/journal.pcbi.1009028 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Weis, M. A., Chitta, K., Sharma, Y., Brendel, W., Bethge, M., Geiger, A. & Ecker, A. S. (2020). ​Benchmarking Unsupervised Object Representations for Video Sequences. Journal of Machine Learning Research, 22(183), ​1​-61​. ​
    ​Details  WoS | arXiv 
  • 2020 | Preprint
    ​ ​Burg, M. F., Cadena, S. A., Denfield, G. H., Walker, E. Y., Tolias, A. S., Bethge, M. & Ecker, A. S. (2020). Learning Divisive Normalization in Primary Visual Cortex.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/767285 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Zhao, Z., Klindt, D. A., Maia Chagas, A., Szatko, K. P., Rogerson, L., Protti, D. A., Behrens, C. ... Euler, T. (2020). ​The temporal structure of the inner retina at a single glance. Scientific Reports, 10(1), Article 4399​. ​doi: https://doi.org/10.1038/s41598-020-60214-z 
    ​Details  DOI  PMID  PMC 
  • 2019 | Conference Paper
    ​ ​Funke, C., Wallis, T., Borowski, J., Michaelis, C. & Ecker, A. (2019). ​​Comparing Humans and Deep Neural Networks on Visual Shape Judgments in Cluttered Images.​​, 48 Paper presented at PERCEPTION​ Paper presented at PERCEPTION​
    ​Details 
  • 2019 | Conference Paper
    ​ ​Cadena, S. A., Sinz, F. H., Muhammad, T., Froudarakis, E., Cobos, E., Walker, E. Y., Reimer, J. ... Ecker, A. S. (2019). ​​How well do deep neural networks trained on object recognition characterize the mouse visual system?​​ Paper presented at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)​ Paper presented at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)​, ), Vancouver, Canada​
    ​Details 
  • 2019 | Journal Article
    ​ ​Michaelis, C., Funke, C., Ecker, A. S., Wallis, T. S. & Bethge, M. (2019). ​Comparing Search Strategies of Humans and Machines in Clutter. Journal of Vision, 19(10), Article 309c​. ​doi: https://doi.org/10.1167/19.10.309c 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​Zhao, Z., Klindt, D., Chagas, A. M., Szatko, K. P., Rogerson, L., Protti, D. A., Behrens, C. ... Euler, T. (2019). The temporal structure of the inner retina at a single glance.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/743047 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​Michaelis, C., Mitzkus, B., Geirhos, R., Rusak, E., Bringmann, O., Ecker, A. S., Bethge, M. ... Brendel, W. (2019). Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.​ Unpublished manuscript. ​
    ​Details | arXiv 
  • 2019 | Conference Paper
    ​ ​Günthner, M. F., Cadena, S. A., Denfield, G. H., Walker, E. Y., Gatys, L. A., Tolias, A. S., Bethge, M. ... Ecker, A. S. (2019). ​​Learning Divisive Normalization in Primary Visual Cortex.​​ Paper presented at Conference on Cognitive Computational Neuroscience 2019​ Paper presented at Conference on Cognitive Computational Neuroscience 2019​, Berlin, Germany​. doi: https://doi.org/10.32470/CCN.2019.1211-0 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Cadena, S. A., Denfield, G. H., Walker, E. Y., Gatys, L. A., Tolias, A. S., Bethge, M. & Ecker, A. S. (2019). ​Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Computational Biology, 15(4), Article e1006897​. ​doi: https://doi.org/10.1371/journal.pcbi.1006897 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article | 
    ​ ​Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A. & Bethge, M. (2019). ​Image content is more important than Bouma's Law for scene metamers. eLife, 8, . ​doi: https://doi.org/10.7554/eLife.42512 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article
    ​ ​Walker, E. Y., Sinz, F. H., Cobos, E., Muhammad, T., Froudarakis, E., Fahey, P. G., Ecker, A. S. ... Tolias, A. S. (2019). ​Inception loops discover what excites neurons most using deep predictive models. Nature Neuroscience, 22(12), ​2060​-2065​. ​doi: https://doi.org/10.1038/s41593-019-0517-x 
    ​Details  DOI  PMID  PMC 
  • 2018 | Conference Paper
    ​ ​Schneider, S., Ecker, A. S., Macke, J. H. & Bethge, M. (2018). ​​Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study.​​ Paper presented at Neural Information Processing Systems (NeurIPS), Workshop on Continual Learning​ Paper presented at Neural Information Processing Systems (NeurIPS), Workshop on Continual Learning​, Montreal, Canada​
    ​Details 
  • 2018 | Conference Paper
    ​ ​Cotton, R. J., Ecker, A. S., Froudarakis, E., Berens, P., Bethge, M., Saggau, P. & Tolias, A. S. (2018). ​​Scaling of information in large sensory populations.​​ Paper presented at AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles​ Paper presented at AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles​, AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles​
    ​Details 
  • 2018 | Conference Paper
    ​ ​Schneider, S., Ecker, A. S., Macke, J. H. & Bethge, M. (2018). ​​SALAD: A Toolbox for Semi-supervised Adaptive Learning Across Domains.​​ Paper presented at 32nd Conference on Neural Information Processing Systems (NIPS 2018)​ Paper presented at 32nd Conference on Neural Information Processing Systems (NIPS 2018)​, Montréal, Canada​
    ​Details 
  • 2018 | Conference Paper
    ​ ​Ecker, A. S., Sinz, F. H., Froudarakis, E., Fahey, P. G., Cadena, S. A., Walker, E. Y., Cobos, E. ... Bethge, M. (2018). ​A rotation-equivariant convolutional neural network model of primary visual cortex.​
    ​Details | arXiv 
  • 2018 | Book Chapter
    ​ ​Escalera, S., Weimer, M., Burtsev, M., Malykh, V., Logacheva, V., Lowe, R., Serban, I. V. ... Bengio, S. (2018). ​Introduction to NIPS 2017 Competition Track. In S. Escalera, N. Weimer​ (Eds.), The NIPS '17 Competition: Building Intelligent Systems ​(pp. 1​-23​). ​​Cham: ​Springer. doi: https://doi.org/10.1007/978-3-319-94042-7_1 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Michaelis, C., Bethge, M. & Ecker, A. S. (2018). One-Shot Segmentation in Clutter.​ Unpublished manuscript. ​
    ​Details | arXiv 
  • 2018 | Journal Article
    ​ ​Funke, C., Borowski, J., Wallis, T., Brendel, W., Ecker, A. & Bethge, M. (2018). ​Comparing the ability of humans and DNNs to recognise closed contours in cluttered images. Journal of Vision, 18(10), ​800​. ​doi: https://doi.org/10.1167/18.10.800 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Sinz, F. H., Ecker, A. S., Fahey, P. G., Walker, E. Y., Cobos, E., Froudarakis, E., Yatsenko, D. ... Tolias, A. S. (2018). Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/452672 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Walker, E. Y., Sinz, F. H., Froudarakis, E., Fahey, P. G., Muhammad, T., Ecker, A. S., Cobos, E. ... Tolias, A. S. (2018). Inception in visual cortex: in vivo-silico loops reveal most exciting images.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/506956 
    ​Details  DOI 
  • 2018 | Book Chapter
    ​ ​Cadena, S. A., Weis, M. A., Gatys, L. A., Bethge, M., Ecker, A. S. & Weiss, Y. (2018). ​Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks. In V. Ferrari, M. Hebert, C. Sminchisescu​ (Eds.), Lecture Notes in Computer Science;. Computer Vision – ECCV 2018 ​(Vol. 11216, pp. 225​-240​). ​​Cham: ​Springer. doi: https://doi.org/10.1007/978-3-030-01258-8_14 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Michaelis, C., Ustyuzhaninov, I., Bethge, M. & Ecker, A. S. (2018). One-Shot Instance Segmentation.​ Unpublished manuscript. ​
    ​Details | arXiv 
  • 2018 | Preprint
    ​ ​Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A. & Bethge, M. (2018). Image content is more important than Bouma’s Law for scene metamers.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/378521 
    ​Details  DOI 
  • 2018 | Preprint
    ​ ​Denfield, G. H., Ecker, A. S., Shinn, T. J., Bethge, M. & Tolias, A. S. (2018). Attentional fluctuations induce shared variability in macaque primary visual cortex.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/189282 
    ​Details  DOI 
  • 2018 | Journal Article | 
    ​ ​Denfield, G. H., Ecker, A. S., Shinn, T. J., Bethge, M. & Tolias, A. S. (2018). ​Attentional fluctuations induce shared variability in macaque primary visual cortex. Nature Communications, 9(1), Article 2654​. ​doi: https://doi.org/10.1038/s41467-018-05123-6 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Subramaniyan, M., Ecker, A. S., Patel, S. S., Cotton, R. J., Bethge, M., Pitkow, X., Berens, P. ... Tolias, A. S. (2018). ​Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology, 120(5), ​2430​-2452​. ​doi: https://doi.org/10.1152/jn.00792.2017 
    ​Details  DOI  PMID  PMC 
  • 2017 | Conference Paper
    ​ ​Vinogradov, O. & Ecker, A. S. (2017). ​​Mixed latent variable model of attention in V1.​​, Göttingen​
    ​Details 
  • 2017 | Preprint
    ​ ​Funke, C. M., Gatys, L. A., Ecker, A. S. & Bethge, M. (2017). Synthesising Dynamic Textures using Convolutional Neural Networks.​ Unpublished manuscript. ​
    ​Details | arXiv 
  • 2017 | Preprint
    ​ ​Klindt, D. A., Ecker, A. S., Euler, T. & Bethge, M. (2017). Neural system identification for large populations separating "what" and "where".​ Unpublished manuscript. ​
    ​Details | arXiv 
  • 2017 | Conference Paper
    ​ ​Gatys, L. A., Ecker, A. S., Bethge, M., Hertzmann, A. & Shechtman, E. (2017). ​Controlling Perceptual Factors in Neural Style Transfer.​2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  (pp. 3730​. doi: https://doi.org/10.1109/CVPR.2017.397 
    ​Details  DOI 
  • 2017 | Preprint
    ​ ​Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A. & Bethge, M. (2017). A parametric texture model based on deep convolutional features closely matches texture appearance for humans.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/165761 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Wallis, T., Funke, C., Ecker, A., Gatys, L., Wichmann, F. & Bethge, M. (2017). ​Towards matching peripheral appearance for arbitrary natural images using deep features. Journal of Vision, 17(10), Article 786​. ​doi: https://doi.org/10.1167/17.10.786 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Funke, C., Wallis, T., Ecker, A. S., Gatys, L., Wichmann, F. & Bethge, M. (2017). ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans. Journal of Vision, 17(10), Article 1081​. ​doi: https://doi.org/10.1167/17.10.1081 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A. & Bethge, M. (2017). ​A parametric texture model based on deep convolutional features closely matches texture appearance for humans. Journal of Vision, 17(12), Article 5​. ​doi: https://doi.org/10.1167/17.12.5 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article
    ​ ​Gatys, L. A., Ecker, A. S. & Bethge, M. (2017). ​Texture and art with deep neural networks. Current Opinion in Neurobiology, 46, ​178​-186​. ​doi: https://doi.org/10.1016/j.conb.2017.08.019 
    ​Details  DOI  PMID  PMC 
  • 2016 | Preprint
    ​ ​Gatys, L. A., Ecker, A. S. & Bethge, M. (2016). Texture Modelling Using Convolutional Neural Networks.​ Unpublished manuscript. ​
    ​Details 
  • 2016 | Conference Paper
    ​ ​Cadwell, C. R., Jiang, X., Sinz, F. H., Berens, P., Fahey, P. G., Yatsenko, D., Froudarakis, E. ... Tolias, A. S. (2016). ​​Cell Lineage Directs teh Precise Assembly of Excitatory Neocortical Circuits.​​ Paper presented at AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles​ Paper presented at AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles​, Santorini, Greece​
    ​Details 
  • 2016 | Conference Paper
    ​ ​Wallis, T. S., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A. & Bethge, M. (2016). ​Towards matching the peripheral visual appearance of arbitrary scenes using deep convolutional neural networks.​ Perception​, 45, 175​-176​, 175​-176​
    ​Details 
  • 2016 | Journal Article
    ​ ​Wallis, T., Ecker, A., Gatys, L., Funke, C., Wichmann, F. & Bethge, M. (2016). ​Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks. Journal of Vision, 16(12), Article 230​. ​doi: https://doi.org/10.1167/16.12.230 
    ​Details  DOI 
  • 2016 | Conference Paper
    ​ ​Ecker, A. S. (2016). ​​What's the Signal in the Noise?​​, Santorini, Greece​
    ​Details 
  • 2016 | Conference Paper
    ​ ​Cadena, S., Ecker, A., Denfield, G., Walker, E., Tolia, A. & Bethge, M. (2016). ​A goal-driven deep learning approach for V1 system identification.​Proceedings of the Bernstein Conference 2016 
    ​Details 
  • 2016 | Journal Article
    ​ ​Gatys, L., Ecker, A. & Bethge, M. (2016). ​A Neural Algorithm of Artistic Style. Journal of Vision, 16(12), Article 326​. ​doi: https://doi.org/10.1167/16.12.326 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Jiang, X., Shen, S., Sinz, F., Reimer, J., Cadwell, C. R., Berens, P., Ecker, A. S. ... Tolias, A. S. (2016). ​Response to Comment on "Principles of connectivity among morphologically defined cell types in adult neocortex". Science, 353(6304), Article 1108​. ​doi: https://doi.org/10.1126/science.aaf6102 
    ​Details  DOI  PMID  PMC 
  • 2016 | Journal Article
    ​ ​Rossant, C., Kadir, S. N., Goodman, D. F. M., Schulman, J., Hunter, M. L. D., Saleem, A. B., Grosmark, A. ... Harris, K. D. (2016). ​Spike sorting for large, dense electrode arrays. Nature Neuroscience, 19(4), ​634​-641​. ​doi: https://doi.org/10.1038/nn.4268 
    ​Details  DOI  PMID  PMC 
  • 2016 | Journal Article
    ​ ​Ecker, A. S., Denfield, G. H., Bethge, M. & Tolias, A. S. (2016). ​On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. The Journal of Neuroscience, 36(5), ​1775​-1789​. ​doi: https://doi.org/10.1523/JNEUROSCI.2044-15.2016 
    ​Details  DOI  PMID  PMC 
  • 2015 | Conference Paper
    ​ ​Bassetto, G., Sandhaeger, F., Ecker, A. & Macke, J. H. (2015). ​​A statistical characterization of neural population responses in V1.​​ Paper presented at Bernstein Conference 2015​ Paper presented at Bernstein Conference 2015​, Heidelberg/Mannheim​
    ​Details 
  • 2015 | Conference Paper
    ​ ​Cadwell, C. R., Jiang, X., Berens, P., Fahey, P. G., Yatsenko, D., Froundarakis, E., Ecker, A. S. ... Tolias, A. S. (2015). ​​Sibling rivalry and cooperation among excitatory neurons in the neocortex.​​ Paper presented at 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015)​ Paper presented at 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015)​, Chicago​
    ​Details 
  • 2015 | Preprint
    ​ ​Denfield, G. H., Ecker, A. S. & Tolias, A. S. (2015). The Role of Internal Signals in Structuring V1 Population Activity.​ Unpublished manuscript. ​
    ​Details 
  • 2015 | Preprint
    ​ ​Yatsenko, D., Reimer, J., Ecker, A. S., Walker, E. Y., Sinz, F., Berens, P., Hoenselaar, A. ... Tolias, A. S. (2015). DataJoint: managing big scientific data using MATLAB or Python.​ Unpublished manuscript. ​doi: https://doi.org/10.1101/031658 
    ​Details  DOI 
  • 2015 | Journal Article
    ​ ​Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S. ... Tolias, A. S. (2015). ​Principles of connectivity among morphologically defined cell types in adult neocortex. Science, 350(6264), Article aac9462​. ​doi: https://doi.org/10.1126/science.aac9462 
    ​Details  DOI  PMID  PMC 
  • 2015 | Journal Article
    ​ ​Gatys, L. A., Ecker, A. S., Tchumatchenko, T. & Bethge, M. (2015). ​Synaptic unreliability facilitates information transmission in balanced cortical populations. Physical Review. E, 91(6), Article 062707​. ​doi: https://doi.org/10.1103/PhysRevE.91.062707 
    ​Details  DOI  PMID  PMC 
  • 2015 | Journal Article
    ​ ​Yatsenko, D., Josić, K., Ecker, A. S., Froudarakis, E., Cotton, R. J. & Tolias, A. S. (2015). ​Improved Estimation and Interpretation of Correlations in Neural Circuits. PLoS Computational Biology, 11(3), Article e1004083​. ​doi: https://doi.org/10.1371/journal.pcbi.1004083 
    ​Details  DOI  PMID  PMC 
  • 2014 | Preprint
    ​ ​Gatys, L. A., Ecker, A. S., Tchumatchenko, T. & Bethge, M. (2014). How much signal is there in the noise?​ Unpublished manuscript. ​
    ​Details 
  • 2014 | Preprint
    ​ ​Ecker, A. S. (2014). Origins and implications of correlated neuronal variability.​ Unpublished manuscript. ​
    ​Details 
  • 2014 | Journal Article
    ​ ​Ecker, A. S. & Tolias, A. S. (2014). ​Is there signal in the noise? Nature Neuroscience, 17(6), ​750​-751​. ​doi: https://doi.org/10.1038/nn.3722 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article
    ​ ​Froudarakis, E., Berens, P., Ecker, A. S., Cotton, R. J., Sinz, F. H., Yatsenko, D., Saggau, P. ... Tolias, A. S. (2014). ​Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience, 17(6), ​851​-857​. ​doi: https://doi.org/10.1038/nn.3707 
    ​Details  DOI  PMID  PMC 
  • 2014 | Journal Article
    ​ ​Ecker, A. S., Berens, P., Cotton, R. J., Subramaniyan, M., Denfield, G. H., Cadwell, C. R., Smirnakis, S. M. ... Tolias, A. S. (2014). ​State Dependence of Noise Correlations in Macaque Primary Visual Cortex. Neuron, 82(1), ​235​-248​. ​doi: https://doi.org/10.1016/j.neuron.2014.02.006 
    ​Details  DOI  PMID  PMC 
  • 2013 | Conference Paper
    ​ ​Froudarakis, E., Berens, P., Cotton, J. R., Ecker, A. S., Saggau, P., Bethge, M. & Tolias, A. S. (2013). ​​Encoding of natural scene statistics in the primary visual cortex of the mouse.​​ Paper presented at Computational and Systems Neuroscience Meeting (COSYNE 2013)​ Paper presented at Computational and Systems Neuroscience Meeting (COSYNE 2013)​, Salt Lake City​
    ​Details 
  • 2013 | Conference Paper
    ​ ​Gatys, L., Ecker, A. S., Tchumatchenko, T. & Bethge, M. (2013). ​​Information Coding in the Variance of Neural Activity.​​ Paper presented at Bernstein Conference 2013​ Paper presented at Bernstein Conference 2013​, Tübingen​
    ​Details 
  • 2013 | Journal Article
    ​ ​Subramaniyan, M., Ecker, A. S., Berens, P. & Tolias, A. S. (2013). ​Macaque Monkeys Perceive the Flash Lag Illusion. PLoS One, 8(3), Article e58788​. ​doi: https://doi.org/10.1371/journal.pone.0058788 
    ​Details  DOI  PMID  PMC 
  • 2012 | Journal Article
    ​ ​Berens, P., Ecker, A. S., Cotton, R. J., Ma, W. J., Bethge, M. & Tolias, A. S. (2012). ​A Fast and Simple Population Code for Orientation in Primate V1. The Journal of Neuroscience, 32(31), ​10618​-10626​. ​doi: https://doi.org/10.1523/JNEUROSCI.1335-12.2012 
    ​Details  DOI  PMID  PMC 
  • 2011 | Journal Article | 
    ​ ​Berens, P., Ecker, A., Gerwinn, S., Tolias, A. & Bethge, M. (2011). ​Optimal Population Coding, Revisited. Nature Precedings, . ​doi: https://doi.org/10.1038/npre.2011.5513.1 
    ​Details  DOI 
  • 2011 | Journal Article
    ​ ​Berens, P., Ecker, A. S., Gerwinn, S., Tolias, A. S. & Bethge, M. (2011). ​Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences of the United States of America, 108(11), ​4423​-4428​. ​doi: https://doi.org/10.1073/pnas.1015904108 
    ​Details  DOI  PMID  PMC 
  • 2011 | Journal Article
    ​ ​Ecker, A. S., Berens, P., Tolias, A. S. & Bethge, M. (2011). ​The Effect of Noise Correlations in Populations of Diversely Tuned Neurons. The Journal of Neuroscience, 31(40), ​14272​-14283​. ​doi: https://doi.org/10.1523/JNEUROSCI.2539-11.2011 
    ​Details  DOI  PMID  PMC 
  • 2010 | Journal Article
    ​ ​Ecker, A. S., Berens, P., Keliris, G. A., Bethge, M., Logothetis, N. K. & Tolias, A. S. (2010). ​Decorrelated Neuronal Firing in Cortical Microcircuits. Science, 327(5965), ​584-7​-587​. ​doi: https://doi.org/10.1126/science.1179867 
    ​Details  DOI  PMID  PMC 
  • 2009 | Conference Abstract
    ​ ​Andreas, T. & Ecker, A. S. (2009). ​Sensory input statistics and network mechanisms in primate primary visual cortex.​ Frontiers in Systems Neuroscience​, 3. doi: https://doi.org/10.3389/conf.neuro.06.2009.03.298 
    ​Details  DOI 
  • 2009 | Conference Paper
    ​ ​Berens, P., Gerwinn, S., Ecker, A. S. & Bethge, M. (2009). ​Neurometric function analysis of population codes.​Proceedings of the Annual Conference on Neural Information Processing Systems 2009  Advances in Neural Information Processing Systems​, 22
    ​Details 
  • 2009 | Journal Article
    ​ ​Berens, P., Gerwinn, S., Ecker, A. S. & Bethge, M. (2009). ​Neurometric function analysis of short-term population codes. Frontiers in Computational Neuroscience, 3, . ​doi: https://doi.org/10.3389/conf.neuro.10.2009.14.093 
    ​Details  DOI 
  • 2009 | Journal Article
    ​ ​Macke, J. H., Berens, P., Ecker, A. S., Tolias, A. S. & Bethge, M. (2009). ​Generating Spike Trains with Specified Correlation Coefficients. Neural Computation, 21(2), ​397​-423​. ​doi: https://doi.org/10.1162/neco.2008.02-08-713 
    ​Details  DOI  PMID  PMC 
  • 2008 | Conference Paper
    ​ ​Macke, J. H., Berens, P., Ecker, A. S., Opper, M., Tolias, A. S. & Bethge, M. (2008). ​​Modeling populations of spiking neurons with the Dichotomized Gaussian distribution.​​ Paper presented at Annual Meeting 2008 of Sloan-Swartz Centers for Theoretical Neurobiology​ Paper presented at Annual Meeting 2008 of Sloan-Swartz Centers for Theoretical Neurobiology​, Princeton University,​
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  • 2008 | Conference Paper
    ​ ​Ecker, A., Berens, P., Hoenselaar, A., Subramaniyan, M., Tolias, A. & Bethge, M. (2008). ​Towards the neural basis of the flash-lag effect.​Proceedings of the International Workshop on Aspects of Adaptive Cortex Dynamics 
    ​Details 
  • 2008 | Preprint
    ​ ​Ecker, A. S. (2008). Predictive Coding and Spike Timing Dependent Plasticity in Primary Visual Cortex.​ Unpublished manuscript. ​
    ​Details 
  • 2008 | Conference Paper
    ​ ​Bethge, M., Macke, J. H., Berens, P., Ecker, A. S. & Tolias, A. S. (2008). ​​Flexible Models for Population Spike Trains.​​ Paper presented at AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles​ Paper presented at AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles​, Santorini, Greece​
    ​Details 
  • 2008 | Conference Paper
    ​ ​Berens, P., Ecker, A. S., Subramaniyan, M., Macke, J. H., Hauck, P., Bethge, M. & Tolias, A. S. (2008). ​​Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque.​​ Paper presented at AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles​ Paper presented at AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles​, Santorini, Greece​
    ​Details 
  • 2008 | Journal Article
    ​ ​Berens, P., Keliris, G. A., Ecker, A. S., Logothetis, N. K. & Tolias, A. S. (2008). ​Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex. Frontiers in Neuroscience, 2(2), ​199​-207​. ​doi: https://doi.org/10.3389/neuro.01.037.2008 
    ​Details  DOI  PMID  PMC 
  • 2008 | Journal Article
    ​ ​Berens, P., Keliris, G. A., Ecker, A. S., Logothetis, N. K. & Tolias, A. S. (2008). ​Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex. Frontiers in Systems Neuroscience, 2, Article 2​. ​doi: https://doi.org/10.3389/neuro.06.002.2008 
    ​Details  DOI  PMID  PMC 
  • 2007 | Conference Paper
    ​ ​Berens, P., Ecker, A. S., Keliris, G. A., Logothetis, N. K. & Tolias, A. S. (2007). ​​On the spatial scale of the local field potential-orientation and ocularity tuning of the local field potential in the primary visual cortex of the macaque.​​ Paper presented at 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007)​ Paper presented at 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007)​, San Diego​
    ​Details 
  • 2007 | Conference Paper
    ​ ​Tolias, A. S., Ecker, A., Keliris, G. A., Panagiotaropoulos, F., Panzeri, S. & Logothetis, N. K. (2007). ​​Population codes, correlations and coding uncertainty.​​ Paper presented at Neural Coding, Computation and Dynamics (NCCD 07)​ Paper presented at Neural Coding, Computation and Dynamics (NCCD 07)​, Capbreton (France)​
    ​Details 
  • 2007 | Conference Paper
    ​ ​Berens, P., Keliris, G. A., Ecker, A. S., Logothetis, N. K. & Tolias, A. S. (2007). ​​Orientation tuning of the local field potential and multi-unit activity in the primary visual cortex of the macaque.​​ Paper presented at 7th Meeting of the German Neuroscience Society, 31st Göttingen Neurobiology Conference​ Paper presented at 7th Meeting of the German Neuroscience Society, 31st Göttingen Neurobiology Conference​, Göttingen​
    ​Details 
  • 2007 | Journal Article
    ​ ​Tolias, A. S., Ecker, A. S., Siapas, A. G., Hoenselaar, A., Keliris, G. A. & Logothetis, N. K. (2007). ​Recording Chronically From the Same Neurons in Awake, Behaving Primates. Journal of Neurophysiology, 98(6), ​3780​-3790​. ​doi: https://doi.org/10.1152/jn.00260.2007 
    ​Details  DOI  PMID  PMC 
  • 2006 | Conference Paper
    ​ ​Tolias, A. S., Ecker, A., Keliris, G. A., Siapas, T. G., Smirnakis, S. M. & Logothetis, N. K. (2006). ​​Structure of interneuronal correlations in the primary visual cortex of the rhesus macaque.​​ Paper presented at Computational and Systems Neuroscience Meeting (COSYNE 2006)​ Paper presented at Computational and Systems Neuroscience Meeting (COSYNE 2006)​, Salt Lake City, Utah​
    ​Details 

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