cached image

Lucas Theis - Publications

Affiliations: 
Werner Reichardt Centre for Integrative Neuroscience 
Area:
Computational Neuroscience, Visual System

9 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Berens P, Freeman J, Deneux T, Chenkov N, McColgan T, Speiser A, Macke JH, Turaga SC, Mineault P, Rupprecht P, Gerhard S, Friedrich RW, Friedrich J, Paninski L, Pachitariu M, ... ... Theis L, et al. Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. Plos Computational Biology. 14: e1006157. PMID 29782491 DOI: 10.1371/journal.pcbi.1006157  1
2016 Theis L, Berens P, Froudarakis E, Reimer J, Román Rosón M, Baden T, Euler T, Tolias AS, Bethge M. Benchmarking Spike Rate Inference in Population Calcium Imaging. Neuron. 90: 471-82. PMID 27151639 DOI: 10.1016/j.neuron.2016.04.014  1
2015 Gerhard HE, Theis L, Bethge M. Modeling Natural Image Statistics Biologically Inspired Computer Vision: Fundamentals and Applications. 53-80. DOI: 10.1002/9783527680863.ch4  1
2015 Sra S, Hosseini R, Theis L, Bethge M. Data modeling with the elliptical gamma distribution Journal of Machine Learning Research. 38: 903-911.  1
2013 Chagas AM, Theis L, Sengupta B, Stüttgen MC, Bethge M, Schwarz C. Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents. Frontiers in Neural Circuits. 7: 190. PMID 24367295 DOI: 10.3389/fncir.2013.00190  1
2013 Theis L, Chagas AM, Arnstein D, Schwarz C, Bethge M. Beyond GLMs: a generative mixture modeling approach to neural system identification. Plos Computational Biology. 9: e1003356. PMID 24278006 DOI: 10.1371/journal.pcbi.1003356  1
2012 Theis L, Hosseini R, Bethge M. Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations. Plos One. 7: e39857. PMID 22859943 DOI: 10.1371/journal.pone.0039857  1
2012 Theis L, Sohl-Dickstein J, Bethge M. Training sparse natural image models with a fast Gibbs sampler of an extended state space Advances in Neural Information Processing Systems. 2: 1124-1132.  1
2011 Theis L, Gerwinn S, Sinz F, Bethge M. In all likelihood, deep belief is not enough Journal of Machine Learning Research. 12: 3071-3096.  1
Show low-probability matches.