Publications

Selected Preprints

Journal articlesBild 1

  1. Leibig C., V. Allken, M. S. Ayhan, P. Berens*, S. Wahl* (accepted): Leveraging uncertainty information from deep neural networks for disease detection. Scientific Reports link
  2. Chapot, C., C. Behrens, L. Rogerson, T. Baden, S. Pop, P. Berens, T. Euler, T. Schubert (2017): Local signals in horizontal cell dendrites, Current Biology, 27(23), 3603–3615, link
  3. Nonnenmacher M., C. Behrens, P. Berens, M. Bethge, JH Macke (2017): Signatures of criticality arise from random subsampling in simple population models, PLoS Comput Biol, 10(13),  e1005718, link
  4. P. Berens and T. Euler (2017): Neuronal Diversity in the Retina. eNeuroforum, Review, link
  5. Rogerson, L. E., C. Behrens, T. Euler, P. Berens, T. Schubert (2017): Connectomics of synaptic  microcircuits: lessons from the outer retina. Journal of Physiology, Review, link
  6. Franke* K., P. Berens*, T. Schubert, M. Bethge, T. Euler, T. Baden (2017): Inhibition decorrelates visual feature representation in the inner retina. Nature, 542, 439-444  link news&views
  7. Behrens* C., T. Schubert*, S. Haverkamp, T. Euler, P. Berens (2016): Connectivity map of bipolar cells and photoreceptors in the mouse retina. eLife, link code
  8. Diamantaki M, M. Frey, P. Berens, P. Preston-Ferrer, A. Burgalossi (2016): Sparse activity of identified dentate granule cells during spatial exploration, eLife, link
  9. Jiang X, S. Shen, F. Sinz, J. Reimer, C. R. Cadwell, P. Berens, A. S. Ecker, S. Patel, G. Denfield, E. Froudarakis, S. Li, E. Walker, A. S. Tolias (2016): Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex”, Science, 353 (6304), 1108, link
  10. L. Theis*, P. Berens*+, E. Froudarakis, J. Reimer, M. Roman-Roson, T. Baden, T. Euler, A. S. Tolias, M. Bethge+ (2016): Benchmarking spike rate inference in population calcium imaging, Neuron, 90(3), 471-482, link
  11. Baden T*, P Berens*, K Franke*, M Rezac, M Bethge, T Euler$: The functional diversity of retinal ganglion cells in the mouse (2016), Nature,529, 345-350, link
  12. Cadwell CR, A Palasantza, X Jiang, P Berens, Q Deng, M Yilmaz, J Reimer, S Shen, M Bethge, KF Tolias, R Sandberg, AS Tolias: Morphological, electrophysiological and transcriptomic profiling of single neurons using Patch-seq (2016), Nature Biotechnology, 34, 199-203, link  
  13. Jiang X, S Shen, CR Cadwell CR, P Berens, F Sinz, AS Ecker, S Patel, AS Tolias: Principles of connectivity among morphologically defined cell types in adult neocortex (2015), Science, 350 (6264), aac9462 link
  14. Froudarakis, E., P. Berens+, A. S. Ecker, R. J. Cotton, F. H. Sinz, D. Yatsenko, P. Saggau, M. Bethge, A. S. Tolias+ (2014): Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness, Nature Neuroscience, PDF
  15. Ecker, A. S., P. Berens, R. J. Cotton,  M. Subramaniyan, G. H. Denfield, C. R. Cadwell, S. M. Smirnakis, M. Bethge, A. S. Tolias (2014): State-dependence of noise correlations in macaque primary visual cortex, Neuron, 81(1), 235-248 PDF
  16. Subramanian, M., A. S. Ecker, P. Berens, A. S. Tolias (2013): Macaque monkeys perceive the flash-lag illusion. PLoS ONE, 8(3): e58788 PDF
  17. Baden, T., P. Berens, M. Bethge, and T. Euler (2013): Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina. Current Biology, 23(1), 48-52 PDF
  18. Berens, P., A. S. Ecker, R. J. Cotton, W. J. Ma, M. Bethge, and A. S. Tolias (2012): A fast and simple population code for orientation in primate V1. The Journal of Neuroscience , 32(31), 10618-10626 PDF
  19. Ecker, A. S., P. Berens, A. S. Tolias, and M. Bethge (2011): The effect of noise correlations in populations of diversely tuned neurons. The Journal of Neuroscience, 31(40), 14272-14283 PDF
  20. Berens, P., A. S. Ecker, S. Gerwinn, A. S. Tolias and M. Bethge (2011): Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences 108(11), 4423-4428 PDF Supplement
  21. Ecker, A. S., P. Berens, G. A. Keliris, M. Bethge, N. K. Logothetis and A. S. Tolias (2010): Decorrelated Firing in Cortical Microcircuits. Science, 327(5965), 584-587 PDF Supplement
  22. Berens, P. (2009): CircStat: A Matlab Toolbox for Circular Statistics. Journal of Statistical Software 31(10), 1-21 PDF
  23. Macke*, J. H., P. Berens*, A. S. Ecker, A. S. Tolias and M. Bethge (2009): Generating Spike Trains with Specified Correlation Coefficients. Neural Computation 21(2), 397-423 PDF
  24. Berens, P., G. A. Keliris, A. S. Ecker, N. K. Logothetis and A. S. Tolias (2008): Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex. Frontiers in Neuroscience 2(2), 199-207; Focused Review PDF
  25. Berens, P., G. A. Keliris, A. S. Ecker, N. K. Logothetis and A. S. Tolias (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(2) PDF

Conference Papers

  1. Berens, P.,S. Gerwinn, A. S. Ecker and M. Bethge (2009): Neurometric function analysis of population codes.  Advances in Neural Information Processing Systems 22: Proceedings of the 2009 Conference, 90-98. (Eds.) Bengio, Y., D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta, MIT Press, Cambridge, MA, USA PDF
  2. Gerwinn, S. , P. Berens, and M. Bethge (2009): A joint maximum-entropy model for binary neural population patterns and continuous signals.  Advances in Neural Information Processing Systems 22: Proceedings of the 2009 Conference, 620-628. (Eds.) Bengio, Y., D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta, MIT Press, Cambridge, MA, USA PDF
  3. Bethge, M. and P. Berens (2008): Near-Maximum Entropy Models for Binary Neural Representations of Natural Images. Advances in Neural Information Processing Systems 20: Proceedings of the 2007 Conference, 97-104. (Eds.) Platt, J. C., D. Koller, Y. Singer, S. Roweis, MIT Press, Cambridge, MA, USA PDF

Others

  1. Baden, T., F. Schaeffel, P. Berens (2017): Visual Neuroscience: A Retinal Ganglion Cell to Report Image Defocus? Current Biology, Dispatch. link
  2. Janschewski, J., P. Berens, C. Käppler (2014): Psychisch belastete Kinder und Jugendliche im Schulkontext – eine empirische Analyse schulischer Problemlagen anhand von Schulakten einer Klinikschule. Zeitschrift für Heilpädagogik (in German), 368-378
  3. Berens, P. (2013): The programming language of the brain [in german]. Bild der Wissenschaft (Supplement), 10, 14-17 PDF
  4. T. Baden, L. P. Godino, S. Yusuf, and P. Berens (2013): Neurowissenschaften in Afrika – Kooperationen und Perspektiven. Neuroforum, 19(2), 73-74 PDF
  5. Macke, J., P. Berens, and M. Bethge (2011): Statistical analysis of multi-cell recordings: linking population coding models to experimental data. Frontiers in Computational Neuroscience, 5(35) PDF
  6. Berens, P.,N. K. Logothetis and A. S. Tolias (in press): Local field potentials, BOLD and spiking activity – relationships and physiological mechanisms. In: Understanding visual population codes – towards a common multivariate framework for cell recording and functional imaging, 599-624.  (Eds.) Kriegeskorte, N. and G. Kreiman, MIT Press, Cambridge, MA, USA PDF Link

* denotes shared first authors, + denotes shared corresponding author

For citation statistics, go to Google Scholar.

Advertisements