Publikationen von S Gerwinn
Alle Typen
Zeitschriftenartikel (9)
1.
Zeitschriftenartikel
61 (5), S. 1 - 34 (2014)
Natter: A Python Natural Image Statistics Toolbox. Journal of Statistical Software 2.
Zeitschriftenartikel
16 (2), S. 235 - 242 (2013)
Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nature Neuroscience 3.
Zeitschriftenartikel
12, S. 3071 - 3096 (2011)
In All Likelihood, Deep Belief Is Not Enough. The Journal of Machine Learning Research 4.
Zeitschriftenartikel
56 (2), S. 570 - 581 (2011)
Gaussian process methods for estimating cortical maps. NeuroImage 5.
Zeitschriftenartikel
108 (11), S. 4423 - 4428 (2011)
Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences of the United States of America 6.
Zeitschriftenartikel
5 (1), S. 1 - 16 (2011)
Reconstructing stimuli from the spike-times of leaky integrate and fire neurons. Frontiers in Neuroscience 7.
Zeitschriftenartikel
4, 12, S. 1 - 17 (2010)
Bayesian inference for generalized linear models for spiking neurons. Frontiers in Computational Neuroscience 8.
Zeitschriftenartikel
3, 21, S. 1 - 28 (2009)
Bayesian population decoding of spiking neurons. Frontiers in Computational Neuroscience 9.
Zeitschriftenartikel
100 (5), S. 817 - 820 (2009)
Characterization of the p-Generalized Normal Distribution. Journal of Multivariate Analysis Konferenzbeitrag (6)
10.
Konferenzbeitrag
Neurometric function analysis of population codes. In: Advances in Neural Information Processing Systems 22, S. 90 - 98 (Hg. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, 07. Dezember 2009 - 10. Dezember 2009. Curran, Red Hook, NY, USA (2010)
11.
Konferenzbeitrag
A joint maximum-entropy model for binary neural population patterns and continuous signals. In: Advances in Neural Information Processing Systems 22, S. 620 - 628 (Hg. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, 07. Dezember 2009 - 10. Dezember 2009. Curran, Red Hook, NY, USA (2010)
12.
Konferenzbeitrag
Bayesian estimation of orientation preference maps. In: Advances in Neural Information Processing Systems 22, S. 1195 - 1203 (Hg. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, 07. Dezember 2009 - 10. Dezember 2009. Curran, Red Hook, NY, USA (2010)
13.
Konferenzbeitrag
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, S. 529 - 536 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
14.
Konferenzbeitrag
Bayesian Inference for Sparse Generalized Linear Models. In: Machine Learning: ECML 2007: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, S. 298 - 309 (Hg. Kok, N.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D. et al.). 18th European Conference on Machine Learning (ECML 2007), Warsaw, Poland, 17. September 2007 - 21. September 2007. Springer, Berlin, Germany (2007)
15.
Konferenzbeitrag
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, S. 1 - 12 (Hg. Rogowitz, B.; Pappas, T.; Daly, S.). SPIE Human Vision and Electronic Imaging Conference 2007, San Jose, CA, USA, 28. Januar 2007 - 01. Februar 2007. SPIE, Bellingham, WA, USA (2007)
Meeting Abstract (4)
16.
Meeting Abstract
2010 (Conference Abstract: Bernstein Conference on Computational Neuroscience). Bernstein Conference on Computational Neuroscience (BCCN 2010), Berlin, Germany, 27. September 2010 - 01. Oktober 2010. Frontiers Research Foundation, Lausanne (2010)
Toolbox for inference in generalized linear models of spiking neurons. In Frontiers in Computational Neuroscience, 17.
Meeting Abstract
2010 (Conference Abstract: Computational and Systems Neuroscience 2010). 7th Computational and Systems Neuroscience Meeting (COSYNE 2010), Salt Lake City, UT, USA, 25. Februar 2010 - 28. Februar 2010. Frontiers Research Foundation, Lausanne, Switzerland (2010)
Implications of correlated neuronal noise in decision making circuits for physiology and behavior. In Frontiers in Neuroscience, 18.
Meeting Abstract
2009 (Conference Abstract: Bernstein Conference on Computational Neuroscience), S. 24 - 25. Bernstein Conference on Computational Neuroscience (BCCN 2009), Frankfurt a.M., Germany, 30. September 2009 - 02. Oktober 2009. Frontiers Research Foundation, Lausanne (2009)
Neurometric function analysis of short-term population codes. In Frontiers in Computational Neuroscience, 19.
Meeting Abstract
Bayesian Neural System identification: error bars, receptive fields and neural couplings. In 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), S. 9. 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), Oberjoch, Germany, 26. November 2006 - 28. November 2006. (2006)
Poster (11)
20.
Poster
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)