R. Hosseini, S. Sra, L. Theis, and M. Bethge
Inference and Mixture Modeling with the Elliptical Gamma Distribution
Computational Statistics and Data Analysis, 101, 29-43, 2016
URL, DOI, BibTex
L. A. Gatys, M. Bethge, A. Hertzmann, and E. Shechtman
Preserving Color in Neural Artistic Style Transfer
arXiv, 2016
#texture transfer, #artistic style, #color preservation, #convolutional neural networks
URL, BibTex
L. A. Gatys, A. S. Ecker, and M. Bethge
Image Style Transfer Using Convolutional Neural Networks
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
#texture transfer, #artistic style, #separating content from style, #convolutional neural networks
Code, URL, BibTex
L. Theis, P. Berens, E. Froudarakis, J. Reimer, M. Roman-Roson, T. Baden, T. Euler, A. S. Tolias, et al.
Benchmarking spike rate inference in population calcium imaging
Neuron, 90(3), 471-482, 2016
#two-photon imaging, #spiking neurons
Code, URL, DOI, BibTex
D. Kobak, W. Brendel, C. Constantinidis, C. E. Feierstein, A. Kepecs, Z. F. Mainen, R. Romo, X.-L. Qi, et al.
Demixed principal component analysis of neural population data
eLife, 5, 2016
URL, DOI, BibTex
S. Bahrampour, N. Ramakrishnan, L. Schott, and M. Shah
Comparative Study of Deep Learning Software Frameworks
#caffe, #torch, #theano, #neon, #deep learning
Code, URL, BibTex
T. S. A. Wallis, M. Bethge, and F. A. Wichmann
Testing models of peripheral encoding using metamerism in an oddity paradigm
Journal of Vision, 16(2), 2016
#psychophysics, #metamers, #crowding, #image appearance, #scene appearance, #blur
Code, URL, DOI, BibTex
A. S. Ecker, G. H. Denfield, M. Bethge, and A. S. Tolias
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State
Journal of Neuroscience, 36(5), 1775-1789, 2016
#attention, #gain modulation, #noise correlations, #population coding
Code, URL, DOI, PDF, BibTex
C. R. Cadwell, A. Palasantza, X. Jiang, P. Berens, Q. Deng, J. Reimer, K. Tolias, M. Bethge, et al.
Morphological, electrophysiological and transcriptomic profiling of single neurons using Patch-seq
Nature Biotechnology, 34, 199-203, 2016
URL, BibTex
T. Baden, P. Berens, K. Franke, M. Rezac, M. Bethge, and T. Euler
The functional diversity of retinal ganglion cells in the mouse
Nature, 529, 345-350, 2016
#retina, #clustering, #machine learning, #cell types, #ganglion cells
Code, URL, DOI, Dataset, BibTex
A. Mathis, D. Rokni, V. Kapoor, M. Bethge, and V. N. Murthy
Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing
Neuron, 2016
URL, BibTex
S. Zhang, S. Bahrampour, N. Ramakrishnan, L. Schott, and M. Shah
Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction
Code, PDF, BibTex
L. Theis, A. van den Oord, and M. Bethge
A note on the evaluation of generative models
International Conference on Learning Representations (arXiv:1511.01844), 2016
URL, PDF, BibTex
University of Tuebingen BCCN CIN MPI