Search results

Journal Article (9)

  1. 1.
    Journal Article
    Sinz, F.; Lies, J.-P.; Gerwinn, S.; Bethge, M.: Natter: A Python Natural Image Statistics Toolbox. Journal of Statistical Software 61 (5), pp. 1 - 34 (2014)
  2. 2.
    Journal Article
    Haefner, R.; Gerwinn, S.; Macke, J.; Bethge, M.: Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nature Neuroscience 16 (2), pp. 235 - 242 (2013)
  3. 3.
    Journal Article
    Theis, L.; Gerwinn, S.; Sinz, F.; Bethge, M.: In All Likelihood, Deep Belief Is Not Enough. The Journal of Machine Learning Research 12, pp. 3071 - 3096 (2011)
  4. 4.
    Journal Article
    Macke, J.; Gerwinn, S.; White, L.; Kaschube, M.; Bethge, M.: Gaussian process methods for estimating cortical maps. NeuroImage 56 (2), pp. 570 - 581 (2011)
  5. 5.
    Journal Article
    Berens, P.; Ecker, A.; Gerwinn, S.; Tolias, A.; Bethge, M.: Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences of the United States of America 108 (11), pp. 4423 - 4428 (2011)
  6. 6.
    Journal Article
    Gerwinn, S.; Macke, J.; Bethge, M.: Reconstructing stimuli from the spike-times of leaky integrate and fire neurons. Frontiers in Neuroscience 5 (1) (2011)
  7. 7.
    Journal Article
    Gerwinn, S.; Macke, J.; Bethge, M.: Bayesian inference for generalized linear models for spiking neurons. Frontiers in Computational Neuroscience 4, 12, pp. 1 - 17 (2010)
  8. 8.
    Journal Article
    Gerwinn, S.; Macke, J.; Bethge, M.: Bayesian population decoding of spiking neurons. Frontiers in Computational Neuroscience 3, 21, pp. 1 - 28 (2009)
  9. 9.
    Journal Article
    Sinz, F.; Gerwinn, S.; Bethge, M.: Characterization of the p-Generalized Normal Distribution. Journal of Multivariate Analysis 100 (5), pp. 817 - 820 (2009)

Conference Paper (6)

  1. 10.
    Conference Paper
    Berens, P.; Gerwinn, S.; Ecker, A.; Bethge, M.: Neurometric function analysis of population codes. In: Advances in Neural Information Processing Systems 22, pp. 90 - 98 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
  2. 11.
    Conference Paper
    Gerwinn, S.; Berens, P.; Bethge, M.: A joint maximum-entropy model for binary neural population patterns and continuous signals. In: Advances in Neural Information Processing Systems 22, pp. 620 - 628 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
  3. 12.
    Conference Paper
    Macke, J.; Gerwinn, S.; Kaschube , M.; White, L.; Bethge, M.: Bayesian estimation of orientation preference maps. In: Advances in Neural Information Processing Systems 22, pp. 1195 - 1203 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
  4. 13.
    Conference Paper
    Gerwinn, S.; Macke, J.; Seeger, M.; Bethge, M.: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 529 - 536 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
  5. 14.
    Conference Paper
    Seeger, M.; Gerwinn, S.; Bethge, M.: Bayesian Inference for Sparse Generalized Linear Models. In: Machine Learning: ECML 2007: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, pp. 298 - 309 (Eds. Kok, N.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D. et al.). 18th European Conference on Machine Learning (ECML 2007), Warsaw, Poland, September 17, 2007 - September 21, 2007. Springer, Berlin, Germany (2007)
  6. 15.
    Conference Paper
    Bethge, M.; Gerwinn, S.; Macke, J.: Unsupervised learning of a steerable basis for invariant image representations. In: Human Vision and Electronic Imaging XII: Proceedings of the SPIE Human Vision and Electronic Imaging Conference 2007, pp. 1 - 12 (Eds. Rogowitz, B.; Pappas, T.; Daly, S.). SPIE Human Vision and Electronic Imaging Conference 2007, San Jose, CA, USA, January 28, 2007 - February 01, 2007. SPIE, Bellingham, WA, USA (2007)

Meeting Abstract (4)

  1. 16.
    Meeting Abstract
    Gerwinn, S.; Macke, J.; Bethge, M.: Toolbox for inference in generalized linear models of spiking neurons. In Frontiers in Computational Neuroscience, 2010 (Conference Abstract: Bernstein Conference on Computational Neuroscience). Bernstein Conference on Computational Neuroscience (BCCN 2010), Berlin, Germany, September 27, 2010 - October 01, 2010. Frontiers Research Foundation, Lausanne (2010)
  2. 17.
    Meeting Abstract
    Häfner, R.; Gerwinn, S.; Macke, J.; Bethge, M.: Implications of correlated neuronal noise in decision making circuits for physiology and behavior. In Frontiers in Neuroscience, 2010 (Conference Abstract: Computational and Systems Neuroscience 2010). 7th Computational and Systems Neuroscience Meeting (COSYNE 2010), Salt Lake City, UT, USA, February 25, 2010 - February 28, 2010. Frontiers Research Foundation, Lausanne, Switzerland (2010)
  3. 18.
    Meeting Abstract
    Berens, P.; Gerwinn, S.; Ecker, A.; Bethge, M.: Neurometric function analysis of short-term population codes. In Frontiers in Computational Neuroscience, 2009 (Conference Abstract: Bernstein Conference on Computational Neuroscience). Bernstein Conference on Computational Neuroscience (BCCN 2009), Frankfurt a.M., Germany, September 30, 2009 - October 02, 2009. Frontiers Research Foundation, Lausanne (2009)
  4. 19.
    Meeting Abstract
    Gerwinn, S.; Seeger, M.; Zeck, G.; Bethge, M.: Bayesian Neural System identification: error bars, receptive fields and neural couplings. In 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006). 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), Oberjoch, Germany. (2006)

Poster (11)

  1. 20.
    Poster
    Haefner, R.; Gerwinn, S.; Macke, J.; Bethge, M.: Relationship between decoding strategy, choice probabilities and neural correlations in perceptual decision-making task. 41st Annual Meeting of the Society for Neuroscience (Neuroscience 2011), Washington, DC, USA (2011)
Go to Editor View