Publikationen von AS Ecker

Cadena, S.; Denfield, G.; Walker, E.; Gatys, L.; Tolias, A.; Bethge, M.; Ecker, A.: Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Computational Biology 15 (4), S. 1 - 27 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than Bouma’s Law for scene metamers. eLife 8, S. 1 - 43 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than1Bouma’s Law for scene metamers. eLife 8, S. 1 - 43 (2019)

Subramaniyan, M.; Ecker, A.; Patel, S.; Cottonq, R.; Bethge, M.; Pitkow, X.; Berens, P.; Tolias, A.: Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology 120 (5), S. 2430 - 2452 (2018)

Denfield, G.; Ecker, A.; Shinn, T.; Bethge, M.; Tolias, A.: Attentional fluctuations induce shared variability in macaque primary visual cortex. Nature Communications 9, 2654, S. 1 - 14 (2018)

Gatys, L.; Ecker, A.; Bethge, M.: Texture and art with deep neural networks. Current Opinion in Neurobiology 46, S. 178 - 186 (2017)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: A parametric texture model based on deep convolutional features closely matches texture appearance for humans. Journal of Vision 17 (12), 5, S. 1 - 29 (2017)

Ecker, A.; Denfield, G.; Bethge, M.; Tolias, A.: On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. The Journal of Neuroscience 36 (5), S. 1775 - 1789 (2016)

Jiang, X.; Shen, S.; Cadwell, C.; Berens, P.; Sinz, F.; Ecker, A.; Patel, S.; Tolias, A.: Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350 (6264), S. aac9462-1 - aac9462-10 (2015)

Gatys, L.; Ecker, A.; Bethge, M.: A Neural Algorithm of Artistic Style. Nature Communications submitted (2015)

Gatys, L.; Ecker, A.; Tchumatchenko, T.; Bethge, M.: Synaptic unreliability facilitates information transmission in balanced cortical populations. Physical Review E 91, 062707, S. 1 - 7 (2015)

Yatsenko, D.; Josić, K.; Ecker, A.; Froudarakis, E.; Cotton, R.; Tolias, A.: Improved Estimation and Interpretation of Correlations in Neural Circuits. PLoS Computational Biology 11 (3) (2015)

Ecker, A.; Tolias, A.: Is there signal in the noise? Nature Neuroscience 17 (6), S. 750 - 751 (2014)

Ecker, A. S.; Tolias, A. S.: Is there signal in the noise? Nature Neuroscience 17 (6), S. 750 - 751 (2014)

Froudarakis, E.; Berens, P.; Ecker, A.; Cotton, R.; Sinz, F.; Yatsenko, D.; Saggau, P.; Bethge, M.; Tolias, A.: Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience 17 (6), S. 851 - 857 (2014)

Ecker, A.; Berens, P.; Cotton, R.; Subramaniyan, M.; Denfield, G.; Cadwell, C.; Smirnakis, S.; Bethge, M.; Tolias, A.: State Dependence of Noise Correlations in Macaque Primary Visual Cortex. Neuron 82 (1), S. 235 - 248 (2014)

Subramaniyan, M.; Ecker, A.; Berens, P.; Tolias, A.: Macaque Monkeys Perceive the Flash Lag Illusion. PLoS One 8 (3), S. 1 - 10 (2013)

Berens, P.; Ecker, A.; Cotton, R.; Ma, W.; Bethge, M.; Tolias, A.: A Fast and Simple Population Code for Orientation in Primate V1. Journal of Neuroscience 32 (31), S. 10618 - 10626 (2012)

Ecker, A.; Berens, P.; Tolias, A.; Bethge, M.: The effect of noise correlations in populations of diversely tuned neurons. The Journal of Neuroscience 31 (40), S. 14272 - 14283 (2011)

Berens, P.; Ecker, A.; Gerwinn, S.; Tolias, A.; Bethge, M.: Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences of the United States of America 108 (11), S. 4423 - 4428 (2011)