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 |
0.646 |
|
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 |
0.673 |
|
2016 |
Hosseini R, Sra S, Theis L, Bethge M. Inference and mixture modeling with the Elliptical Gamma Distribution Computational Statistics and Data Analysis. 101: 29-43. DOI: 10.1016/J.Csda.2016.02.009 |
0.595 |
|
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 |
0.626 |
|
2015 |
Sra S, Hosseini R, Theis L, Bethge M. Data modeling with the elliptical gamma distribution Journal of Machine Learning Research. 38: 903-911. |
0.463 |
|
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 |
0.572 |
|
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: 10.3389/Conf.Fncom.2012.55.00080 |
0.563 |
|
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 |
0.588 |
|
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. |
0.481 |
|
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. |
0.601 |
|
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