cached image

Lucas Theis

Werner Reichardt Centre for Integrative Neuroscience 
Computational Neuroscience, Visual System
"Lucas Theis"
Mean distance: 15.8 (cluster 29)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Berens P, Freeman J, Deneux T, et al. (2018) Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. Plos Computational Biology. 14: e1006157
Theis L, Berens P, Froudarakis E, et al. (2016) Benchmarking Spike Rate Inference in Population Calcium Imaging. Neuron. 90: 471-82
Hosseini R, Sra S, Theis L, et al. (2016) Inference and mixture modeling with the Elliptical Gamma Distribution Computational Statistics and Data Analysis. 101: 29-43
Gerhard HE, Theis L, Bethge M. (2015) Modeling Natural Image Statistics Biologically Inspired Computer Vision: Fundamentals and Applications. 53-80
Sra S, Hosseini R, Theis L, et al. (2015) Data modeling with the elliptical gamma distribution Journal of Machine Learning Research. 38: 903-911
Chagas AM, Theis L, Sengupta B, et al. (2013) Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents. Frontiers in Neural Circuits. 7: 190
Theis L, Chagas AM, Arnstein D, et al. (2013) Beyond GLMs: a generative mixture modeling approach to neural system identification. Plos Computational Biology. 9: e1003356
Theis L, Hosseini R, Bethge M. (2012) Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations. Plos One. 7: e39857
Theis L, Sohl-Dickstein J, Bethge M. (2012) Training sparse natural image models with a fast Gibbs sampler of an extended state space Advances in Neural Information Processing Systems. 2: 1124-1132
Theis L, Gerwinn S, Sinz F, et al. (2011) In all likelihood, deep belief is not enough Journal of Machine Learning Research. 12: 3071-3096
See more...